bibtex.bib

@article{music2017control,
 abstract = {The interaction between humans and robot teams is highly relevant in many application domains, for example in collaborative manufacturing, search and rescue, and logistics. It is well-known that humans and robots have complementary capabilities: Humans are excellent in reasoning and planning in unstructured environments, while robots are very good in performing tasks repetitively and precisely. In consequence, one of the key research questions is how to combine human and robot team decision making and task execution},
 author = {Musi{\'c}, Selma and Hirche, Sandra},
 journal = {Annual Reviews in Control},
 pages = {342--354},
 pub_year = {2017},
 publisher = {Elsevier},
 title = {Control sharing in human-robot team interaction},
 venue = {Annual Reviews in Control},
 volume = {44}
}

@inproceedings{cencen2015characterizing,
 abstract = {The industry is working towards manufacturing systems consisting of a blend of humans and robots. We look at the development of these systems in the context of Small and Medium Enterprises (SME). Also, it is believed that industrial robots with collaboration capabilities with humans will play a crucial role in the change towards reconfigurable and flexible manufacturing systems. Collaboration and teaming are natural social skills of humans. However, little is known about robots and their capabilities in working efficiently with these},
 author = {Cencen, Argun and Verlinden, Jouke and Geraedts, Jo},
 booktitle = {International Conference on Social Robotics},
 organization = {Springer},
 pages = {135--144},
 pub_year = {2015},
 title = {Characterizing the state of the art of human-robot coproduction},
 venue = {International Conference on Social …}
}

@inproceedings{pfrommer2013pprs,
 abstract = {To model increasingly adaptive production systems, skills are used to describe generic capabilities of the system components. In this paper, the authors extend the well-known division of production entities into product, process, and resource (PPR) with a skill definition. There are two main advantages for this approach: First, using PPR for the skill definition allows easy integration into existing models and tools. Second, there is a natural tendency to define very generic skills to capture all possible use cases. But at some point},
 author = {Pfrommer, Julius and Schleipen, Miriam and Beyerer, J{\"u}rgen},
 booktitle = {2013 IEEE 18th Conference on Emerging Technologies \& Factory Automation (ETFA)},
 organization = {IEEE},
 pages = {1--4},
 pub_year = {2013},
 title = {PPRS: Production skills and their relation to product, process, and resource},
 venue = {2013 IEEE 18th …}
}

@article{backhaus2017digital,
 abstract = {The ability to enable a fast modification and system-change, in order to fulfil quickly changing market needs, is one of the essential requirements of future production systems. Against this background, the central objective of this paper is the discussion of a new concept to simplify the application of task-oriented programming for assembly systems. For this purpose, a generic and comprehensible concept is used for the modeling of resources, processes and products. The core aspect is a method for the definition of multi-vendor skills},
 author = {Backhaus, Julian and Reinhart, Gunther},
 journal = {Journal of Intelligent Manufacturing},
 number = {8},
 pages = {1787--1800},
 pub_year = {2017},
 publisher = {Springer},
 title = {Digital description of products, processes and resources for task-oriented programming of assembly systems},
 venue = {Journal of Intelligent Manufacturing},
 volume = {28}
}

@article{backhaus2015adaptive,
 abstract = {The ability to enable a fast modification and system-change, in order to fulfil quickly changing market needs, is one of the essential requirements of future production systems. Two basic steps for an adaption of an automated production system to a new task are the reconfiguration and the reprogramming. Against this background, the central objective of this paper is the discussion of a new concept to simplify the application of task-oriented programming for assembly systems. Only abstract tasks are described in the task-oriented},
 author = {Backhaus, J and Reinhart, G},
 journal = {Procedia CIRP},
 pages = {544--549},
 pub_year = {2015},
 publisher = {Elsevier},
 title = {Adaptive and device independent planning module for task-oriented programming of assembly systems},
 venue = {Procedia CIRP},
 volume = {33}
}

@article{pedersen2016robot,
 abstract = {Due to a general shift in manufacturing paradigm from mass production towards mass customization, reconfigurable automation technologies, such as robots, are required. However, current industrial robot solutions are notoriously difficult to program, leading to high changeover times when new products are introduced by manufacturers. In order to compete on global markets, the factories of tomorrow need complete production lines, including automation technologies that can effortlessly be reconfigured or repurposed, when},
 author = {Pedersen, Mikkel Rath and Nalpantidis, Lazaros and Andersen, Rasmus Skovgaard and Schou, Casper and B{\o}gh, Simon and Kr{\"u}ger, Volker and Madsen, Ole},
 journal = {Robotics and Computer-Integrated Manufacturing},
 pages = {282--291},
 pub_year = {2016},
 publisher = {Elsevier},
 title = {Robot skills for manufacturing: From concept to industrial deployment},
 venue = {Robotics and Computer …},
 volume = {37}
}

@inproceedings{andersen2014definition,
 abstract = {We propose a hierarchical action framework which facilitates easy and intuitive robot instruction, allowing non-experts to instruct and use industrial robots. The framework is based on flexible, generic and hardware-independent robot Skills, which are executed through the use of a Robot Virtual Machine. We demonstrate the feasibility of our approach through case studies of real industrial tasks which are not automated today, due to the high cost of reconfiguration.},
 author = {Andersen, Rasmus Hasle and Solund, Thomas and Hallam, John},
 booktitle = {ISR/Robotik 2014; 41st International Symposium on Robotics},
 organization = {VDE},
 pages = {1--7},
 pub_year = {2014},
 title = {Definition and initial case-based evaluation of hardware-independent robot skills for industrial robotic co-workers},
 venue = {ISR/Robotik 2014; 41st …}
}

@article{fechter2018integrated,
 abstract = {The design of human-robot-collaborative workplaces is a challenging task, whose outcome is highly dependent on the assembly planners knowledge and experience, as usually only a small fraction of the design space is considered. This often results in unappropriated workplace designs with process-related and economical drawbacks. This paper outlines an approach to a collaborative workplace design tool-chain considering different strengths of robot and human, starting from assembly group CAD model data input to an ontology based},
 author = {Fechter, Manuel and Seeber, Carsten and Chen, Shengjian},
 journal = {Procedia CIRP},
 pages = {39--44},
 pub_year = {2018},
 publisher = {Elsevier},
 title = {Integrated process planning and resource allocation for collaborative robot workplace design},
 venue = {Procedia CIRP},
 volume = {72}
}

@inproceedings{schleipen2014automationml,
  title={AutomationML to describe skills of production plants based on the PPR concept},
  author={Schleipen, Miriam and Pfrommer, J and Aleksandrov, K and Stogl, D and Escaida, S and Beyerer, J and Hein, B},
  booktitle={3rd AutomationML user conference},
  year={2014}
}

@article{stenmark2015knowledge,
 abstract = {When robots are working in dynamic environments, close to humans lacking extensive knowledge of robotics, there is a strong need to simplify the user interaction and make the system execute as autonomously as possible, as long as it is feasible. For industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lower the demand on programming time and system integration expertise. Only by building a system with appropriate knowledge and reasoning services can one simplify the robot},
 author = {Stenmark, Maj and Malec, Jacek},
 journal = {Robotics and Computer-Integrated Manufacturing},
 pages = {56--67},
 pub_year = {2015},
 publisher = {Elsevier},
 title = {Knowledge-based instruction of manipulation tasks for industrial robotics},
 venue = {Robotics and Computer-Integrated Manufacturing},
 volume = {33}
}

@inproceedings{zimmermann2019skill,
 abstract = {The configuration of current automated production systems is complex and therefore time consuming while the market demands an easy setup and adaptability due to smaller batch sizes and volatile markets. While there are different concepts in research on how to simplify the engineering process by using generic skills or capabilities of devices, run-time control is still achieved with proprietary communication protocols and commands. The concept in this paper uses skills not only in the phase of engineering but also consequently for direct and},
 author = {Zimmermann, Patrick and Axmann, Etienne and Brandenbourger, Benjamin and Dorofeev, Kirill and Mankowski, Andr{\'e} and Zanini, Paulo},
 booktitle = {2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
 organization = {IEEE},
 pages = {1101--1108},
 pub_year = {2019},
 title = {Skill-based engineering and control on field-device-level with opc ua},
 venue = {2019 24th IEEE …}
}

@inproceedings{zhang2009autonomous,
 abstract = {General purpose service robots are expected to deal with many different tasks in unknown environments. The number of possible tasks and changing situations prevent developers from writing control programs for all tasks and possible situations. Complex robot tasks are thus accomplished by sequential execution of less complex robot actions that are triggered and configured by a task planner. The question of the appropriate abstraction level of robot actions is still being researched and not discussed conclusively. In this paper, we address},
 author = {Zhang, Jianwei and others},
 booktitle = {2009 IEEE/RSJ International Conference on Intelligent Robots and Systems},
 organization = {IEEE},
 pages = {1999--2004},
 pub_year = {2009},
 title = {Autonomous planning for mobile manipulation services based on multi-level robot skills},
 venue = {2009 IEEE/RSJ International Conference on …}
}

@inproceedings{harcuba2015ontologies,
 abstract = {This paper presents a design of ontology aimed at the optimization of production ramp-up of higly complex and customized products, developed within the European project ARUM. The ARUM solution consists of a large number of software components including schedulers, planners, legacy data transformation services and end-user client interfaces, which are integrated via the Enterprice Service Bus. The semantic interoperability is achieved by providing the common knowledge-based model defined as OWL ontology, which describes},
 author = {Harcuba, Ond{\v{r}}ej and Vrba, Pavel},
 booktitle = {2015 IEEE 20th Conference on Emerging Technologies \& Factory Automation (ETFA)},
 organization = {IEEE},
 pages = {1--8},
 pub_year = {2015},
 title = {Ontologies for flexible production systems},
 venue = {2015 IEEE 20th Conference on Emerging …}
}

@inproceedings{hildebrandt2017semantic,
 abstract = {Cooperation and collaboration of technical systems in different application contexts is one of the main targets of the vision of “Industrie 4.0”(I40). In order to bring this vision to industrial practice, it is necessary to define a semantic basis for information exchange between systems. This paper provides the results of a project that focused on semantic modeling based on standards relevant in the I40 context. Particularly, a meta model for modeling mechatronic systems as well as a meta model for modeling the systems characteristics is},
 author = {Hildebrandt, Constantin and Scholz, Andr{\'e} and Fay, Alexander and Schr{\"o}der, Tizian and Hadlich, Thomas and Diedrich, Christian and Dubovy, Martin and Eck, Christian and Wiegand, Ralf},
 booktitle = {2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
 organization = {IEEE},
 pages = {1--8},
 pub_year = {2017},
 title = {Semantic modeling for collaboration and cooperation of systems in the production domain},
 venue = {2017 22nd IEEE …}
}

@inproceedings{kattepur2018knowledge,
 abstract = {Robotic automation has made significant inroads into industrial manufacturing and supply chains. With Industry 4.0 requirements proposing further autonomy to robotic participants, it is necessary to reason about robotic tasks within a knowledge dependent software framework. In this work, we model robotic automation tasks using hierarchical decomposition models, that are used to extract action plans to satisfy end goals. By abstracting components as intelligent agents that have perception, action, goal and},
 author = {Kattepur, Ajay and Dey, Sounak and Balamuralidhar, P},
 booktitle = {IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society},
 organization = {IEEE},
 pages = {3665--3672},
 pub_year = {2018},
 title = {Knowledge based hierarchical decomposition of Industry 4.0 robotic automation tasks},
 venue = {IECON 2018-44th Annual …}
}

@article{csahinel2021human,
 abstract = {This study focuses on the question of how humans can be inherently integrated into cyber-physical systems (CPS) to reinforce their involvement in the increasingly automated industrial processes. After a use-case oriented review of the related research literature, a human-integration framework and associated data models are presented as part of a multi-agent IoT middleware called CHARIOT. The framework enables human actors to be semantically represented and registered, together with other IoT entities, in a common},
 author = {{\c{S}}ahinel, Doruk and Akpolat, Cem and G{\"o}r{\"u}r, O Can and Sivrikaya, Fikret and Albayrak, Sahin},
 journal = {Journal of Manufacturing Systems},
 pages = {367--385},
 pub_year = {2021},
 publisher = {Elsevier},
 title = {Human modeling and interaction in cyber-physical systems: A reference framework},
 venue = {Journal of Manufacturing …},
 volume = {59}
}

@article{ramasubramanian2021using,
 abstract = {The operation of mobile manipulators in a collaborative environment needs to be adapted to the characteristics and skills of human operators. Human activity recognition, utilizing wearable sensors and vision systems, could be used to fine tune the performance of the mobile manipulator so that human operators be better assisted. The goal is to develop a sense of safety and trust between the human and the manipulator in order to improve the ergonomics of the operator within the collaborative workspace. This paper reviews the},
 author = {Ramasubramanian, Aswin K and Aiman, Syed M and Papakostas, Nikolaos},
 journal = {Procedia CIRP},
 pages = {211--216},
 pub_year = {2021},
 publisher = {Elsevier},
 title = {On using human activity recognition sensors to improve the performance of collaborative mobile manipulators: review and outlook},
 venue = {Procedia CIRP},
 volume = {97}
}

@article{barbosa2019knowledge,
 abstract = {This paper aims to propose a novel knowledge tailor-made management method (KTMM) for industrial automation, to assist managers, project leaders and engineers interested on robotization of manufacturing. It looks for integrating the phases of analyzes, prospecting, development, deployment and evaluation of a robotized process. Specifically, this research focuses on the extraction of valuable knowledge, background and practical experience of the author in the field of industrial automation linked to literature review and motivated by the},
 author = {Barbosa, Gustavo Franco and de Andrade Bezerra, Willian},
 journal = {Journal of the Brazilian society of mechanical sciences and engineering},
 number = {4},
 pages = {1--14},
 pub_year = {2019},
 publisher = {Springer},
 title = {A knowledge tailor-made method oriented to robotization of process: a case study of aeronautical materials’ drilling},
 venue = {Journal of the Brazilian society of …},
 volume = {41}
}

@inproceedings{hasnan2018short,
 abstract = {The technological revolution or known as Industry 4.0, is a paradigm that envisages the use of sensors, machines, workpieces and IT system that is connected to the value chain beyond a single organization. As in other industries, the food processing sector is expected to embrace Industry 4.0 progressively. This paper presents the nine technological advancements that drive Industry 4.0 namely Big Data and analytics, autonomous robots, simulation, horizontal and vertical integration, cybersecurity, the Industrial Internet of Things},
 author = {Hasnan, Noor Zafira Noor and Yusoff, Yuzainee Md},
 booktitle = {2018 IEEE Student Conference on Research and Development (SCOReD)},
 organization = {IEEE},
 pages = {1--6},
 pub_year = {2018},
 title = {Short review: Application areas of industry 4.0 technologies in food processing sector},
 venue = {2018 IEEE Student Conference on …}
}

@book{baldassarre2013computational,
 abstract = {Computational and Robotic Models of the Hierarchical Organization of Behavior},
 author = {Baldassarre, Gianluca and Mirolli, Marco},
 pub_year = {2013},
 publisher = {Springer},
 title = {Computational and robotic models of the hierarchical organization of behavior},
 venue = {NA}
}

@inproceedings{krushinitskiy2013review,
 abstract = {This paper presents the analysis of automation hardware market, choosing and implementation of an optimal device to create remote supervision of workshops. An idea to create a remotely controllable workshop is not new, but the challenges with interaction scenarios between machines (CNC machines, industrial robots) and humans became more and more complex. Nowadays, industrial automation is mainly organized by microcontroller systems and the main disadvantages of such systems is focusing on specific tasks, needs of},
 author = {Krushinitskiy, Pavel and Sziebig, Gabor},
 booktitle = {2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom)},
 organization = {IEEE},
 pages = {677--682},
 pub_year = {2013},
 title = {Review of open source computing devices for iSpace in production workshops},
 venue = {2013 IEEE 4th International …}
}

@article{chen2009review,
 abstract = {Purpose–Paint path planning for industrial robots is critical for uniform paint distribution, process cycle time and material waste, etc. However, paint path planning is still a costly and time‐consuming process. Currently paint path planning has always caused a bottle‐neck for manufacturing automation because typical manual teaching methods are tedious, error‐prone and skill‐dependent. Hence, it is essential to develop automated tool path‐planning methods to replace manual paint path planning. The purpose of this paper is to review the},
 author = {Chen, Heping and Fuhlbrigge, Thomas and Li, Xiongzi},
 journal = {Industrial Robot: An International Journal},
 pub_year = {2009},
 publisher = {Emerald Group Publishing Limited},
 title = {A review of CAD-based robot path planning for spray painting},
 venue = {Industrial Robot: An International Journal}
}

@article{rangraz2021workplace,
 abstract = {Small manufacturing plants nowadays need to consider Industry 4.0 to stay competitive in the market. Among the challenges regarding the transformation towards Industry 4.0 are requirements to re-skill the staff for the new work environment. The staff have to either adapt to the workplace transformation brought by digitalisation, automation and robotics or face layoffs. This paper reports on a transformation process towards Industry 4.0 which was conducted in a small manufacturing enterprise where automated assembly line, industrial},
 author = {Rangraz, Masood and Pareto, Lena},
 journal = {International Journal of Lifelong Education},
 number = {1},
 pages = {5--22},
 pub_year = {2021},
 publisher = {Taylor \& Francis},
 title = {Workplace work-integrated learning: supporting industry 4.0 transformation for small manufacturing plants by reskilling staff},
 venue = {International Journal of Lifelong Education},
 volume = {40}
}

@inproceedings{isnaini2019robotics,
  title={Robotics-based learning to support computational thinking skills in early childhood},
  author={Isnaini, Ratih and Budiyanto, Cucuk and Widiastuti, Indah},
  booktitle={AIP Conference Proceedings},
  volume={2194},
  number={1},
  pages={020044},
  year={2019},
  organization={AIP Publishing LLC}
}

@inproceedings{huckaby2012taxonomic,
  title={A taxonomic framework for task modeling and knowledge transfer in manufacturing robotics},
  author={Huckaby, Jacob O'Donnal and Christensen, Henrik I},
  booktitle={Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence},
  year={2012}
}

@inproceedings{aertbelien2014etasl,
  title={eTaSL/eTC: A constraint-based task specification language and robot controller using expression graphs},
  author={Aertbeli{\"e}n, Erwin and De Schutter, Joris},
  booktitle={2014 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  pages={1540--1546},
  year={2014},
  organization={IEEE}
}

@inproceedings{pane2020skill,
 abstract = {This paper introduces a constraint-based skill framework for programming robot applications. Existing skill frameworks allow application developers to reuse skills and compose them sequentially or in parallel. However, they typically assume that the skills are running independently and in a nominal condition. This limitation hinders their applications for more involved and realistic scenarios eg when the skills need to run synchronously and in the presence of disturbances. This paper addresses this problem in two steps. First, we},
 author = {Pane, Yudha and Aertbeli{\"e}n, Erwin and De Schutter, Joris and Decr{\'e}, Wilm},
 booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 organization = {IEEE},
 pages = {7087--7094},
 pub_year = {2020},
 title = {Skill-based programming framework for composable reactive robot behaviors},
 venue = {2020 IEEE/RSJ …}
}

@inproceedings{thomas2013new,
  title={A new skill based robot programming language using uml/p statecharts},
  author={Thomas, Ulrike and Hirzinger, Gerd and Rumpe, Bernhard and Schulze, Christoph and Wortmann, Andreas},
  booktitle={2013 IEEE International Conference on Robotics and Automation},
  pages={461--466},
  year={2013},
  organization={IEEE}
}

@inproceedings{stenmark2016demonstrations,
  title={From demonstrations to skills for high-level programming of industrial robots},
  author={Stenmark, Maj and Topp, Elin A},
  booktitle={2016 AAAI fall symposium series},
  year={2016}
}

@inproceedings{nagele2018prototype,
 abstract = {In recent years, a number of publications described approaches for model-based manipulation skills and their applicability to a variety of robot tasks-be it assembly, industrial robotics in general, or service robotics. These approaches roughly follow the same pattern: They model robot task description based on the Task Frame Formalism, the Task Function Approach, or iTaSC. They model coordination mechanisms in form of statecharts or Petri nets. And almost all models are accompanied by domain-specific languages (DSLs) that},
 author = {N{\"a}gele, Frank and Halt, Lorenz and Tenbrock, Philipp and Pott, Andreas},
 booktitle = {2018 IEEE International Conference on Robotics and Automation (ICRA)},
 organization = {IEEE},
 pages = {558--565},
 pub_year = {2018},
 title = {A prototype-based skill model for specifying robotic assembly tasks},
 venue = {2018 IEEE International …}
}

@incollection{kroger2010manipulation,
 abstract = {This paper introduces a generic framework for sensor-based robot motion control. The key contribution is the introduction of an adaptive selection matrix for sensor-based hybrid switched-system control. The overall control system consists of multiple sensors and open-and closed-loop controllers, in-between which the adaptive selection matrix can switch discretely in order to supply command variables for low-level controllers of robotic manipulators. How control signals are chosen, is specified by Manipulation Primitives, which},
 author = {Kr{\"o}ger, Torsten and Finkemeyer, Bernd and Wahl, Friedrich M},
 booktitle = {Robotic systems for handling and assembly},
 pages = {293--313},
 pub_year = {2010},
 publisher = {Springer},
 title = {Manipulation primitives—A universal interface between sensor-based motion control and robot programming},
 venue = {Robotic systems for handling and …}
}

@article{zander2016model,
  title={A model-driven engineering approach for ros using ontological semantics},
  author={Zander, Stefan and Heppner, Georg and Neugschwandtner, Georg and Awad, Ramez and Essinger, Marc and Ahmed, Nadia},
  journal={arXiv preprint arXiv:1601.03998},
  year={2016}
}

@article{pane2021autonomous,
 abstract = {Constraint-based robot programming allows for implementing sensor-based skills that react to disturbances on the one hand, and composable skills that dynamically create and reconfigure complex robot behaviors on the other hand. In this letter, we address a class of problems where composing appropriate skills prior to execution is inconvenient due to unpredictable events of disturbances. To this end, we propose an autonomous replanning and acting framework that computes and executes reactive composed skills at runtime. We},
 author = {Pane, Yudha and Mokhtari, Vahid and Aertbeli{\"e}n, Erwin and De Schutter, Joris and Decr{\'e}, Wilm},
 journal = {IEEE Robotics and Automation Letters},
 number = {4},
 pages = {6481--6488},
 pub_year = {2021},
 publisher = {IEEE},
 title = {Autonomous Runtime Composition of Sensor-Based Skills Using Concurrent Task Planning},
 venue = {IEEE Robotics and …},
 volume = {6}
}

@article{zhang2021obstacle,
 abstract = {Obstacle avoidance is a significant skill not only for mobile robots but also for robot manipulators working in unstructured environments. Various algorithms have been proposed to solve off-line planning and on-line adaption problems. However, it is still not able to ensure safety and flexibility in complex scenarios. In this paper, a novel obstacle avoidance algorithm is proposed to improve the robustness and flexibility. The method contains three components: A closed-loop control system is used to filter the preplanned},
 author = {Zhang, Wei and Cheng, Hongtai and Hao, Lina and Li, Xingchen and Liu, Mingfang and Gao, Xifeng},
 journal = {Robotics and Computer-Integrated Manufacturing},
 pages = {102114},
 pub_year = {2021},
 publisher = {Elsevier},
 title = {An obstacle avoidance algorithm for robot manipulators based on decision-making force},
 venue = {Robotics and Computer …},
 volume = {71}
}

@inproceedings{he2021research,
 abstract = {In view of the traditional teaching mode on industrial for assembly tasks involved in the attitude control, poor adaptability of assembly process problem such as open-loop control, designing an Improved Deep Deterministic Policy Gradient (DDPG) reinforcement learning algorithm to realize the axle-hole assembly task. This method obtains multi-dimensional information, including the end-effector's posture parameters and the robot joints, adopts the hierarchical reward mechanism function, to train robot searching, positioning and attitude},
 author = {He, Fujun and Wang, Xiaozheng and Liu, Kai},
 booktitle = {2021 5th International Conference on Robotics and Automation Sciences (ICRAS)},
 organization = {IEEE},
 pages = {182--186},
 pub_year = {2021},
 title = {Research on Axle-Hole Assembly Method Based on Improved DDPG Algorithm},
 venue = {2021 5th International Conference on …}
}

@article{ji2021learning,
 abstract = {For smart manufacturing, an automated robotic assembly system built upon an autoprogramming environment is necessary to reduce setup time and cost for robots that are engaged in frequent task reassignment. This article presents an approach to the autoprogramming of robotic assembly tasks with minimal human assistance. The approach integrates “robotic learning of assembly tasks from observation” and “robotic embodiment of learned assembly tasks in the form of skills.” In the former, robots observe human assembly},
 author = {Ji, Sanghoon and Lee, Sukhan and Yoo, Sujeong and Suh, Ilhong and Kwon, Inso and Park, Frank C and Lee, Sanghyoung and Kim, Hongseok},
 journal = {Proceedings of the IEEE},
 number = {4},
 pages = {423--440},
 pub_year = {2021},
 publisher = {IEEE},
 title = {Learning-based automation of robotic assembly for smart manufacturing},
 venue = {Proceedings of the …},
 volume = {109}
}

@inproceedings{pang2021synthesized,
 abstract = {Human multi-robot system (MRS) collaboration is demonstrating potentials in wide application scenarios due to the integration of human cognitive skills and a robot team's powerful capability introduced by its multi-member structure. However, due to limited human cognitive capability, a human cannot simultaneously monitor multiple robots and identify the abnormal ones, largely limiting the efficiency of the human-MRS collaboration. There is an urgent need to proactively reduce unnecessary human engagements and further reduce},
 author = {Pang, Yijiang and Huang, Chao and Liu, Rui},
 booktitle = {2021 30th IEEE International Conference on Robot \& Human Interactive Communication (RO-MAN)},
 organization = {IEEE},
 pages = {778--783},
 pub_year = {2021},
 title = {Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments},
 venue = {2021 30th IEEE International …}
}

@inproceedings{rahman2021performance,
 abstract = {A human-robot collaborative system in the form of a power and skill assist robotic system was developed where a human and a robot could collaborate to perform object manipulation for targeted assembly tasks in automotive manufacturing. We assumed such assembly tasks as the representative assembly tasks in automotive manufacturing. We reflected human's weight perception in the dynamics and control of the power and skill assist system following a psychophysical method using a reinforcement learning scheme. We},
 author = {Rahman, SM Mizanoor},
 booktitle = {2021 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)},
 organization = {IEEE},
 pages = {260--265},
 pub_year = {2021},
 title = {Performance metrics for human-robot collaboration: An automotive manufacturing case},
 venue = {… IEEE International Workshop on Metrology for …}
}

@article{su2021toward,
 abstract = {Learning manipulation skills from open surgery provides more flexible access to the organ targets in the abdomen cavity and this could make the surgical robot working in a highly intelligent and friendly manner. Teaching by demonstration (TbD) is capable of transferring the manipulation skills from human to humanoid robots by employing active learning of multiple demonstrated tasks. This work aims to transfer motion skills from multiple human demonstrations in open surgery to robot manipulators in robot-assisted minimally invasive},
 author = {Su, Hang and Mariani, Andrea and Ovur, Salih Ertug and Menciassi, Arianna and Ferrigno, Giancarlo and De Momi, Elena},
 journal = {IEEE Transactions on Automation Science and Engineering},
 number = {2},
 pages = {484--494},
 pub_year = {2021},
 publisher = {IEEE},
 title = {Toward teaching by demonstration for robot-assisted minimally invasive surgery},
 venue = {IEEE Transactions …},
 volume = {18}
}

@article{wang2020framework,
 abstract = {Human factors and human-centered design philosophy are highly desired in today's robotics applications such as human–robot interaction (HRI). Several studies showed that endowing robots of human-like interaction skills can not only make them more likeable but also improve their performance. In particular, skill transfer by imitation learning can increase the usability and acceptability of robots by users without computer programming skills. In fact, besides positional information, muscle stiffness of the human arm and contact force with the},
 author = {Wang, Ning and Chen, Chuize and Di Nuovo, Alessandro},
 journal = {IEEE Transactions on Cognitive and Developmental Systems},
 number = {1},
 pages = {162--170},
 pub_year = {2020},
 publisher = {IEEE},
 title = {A framework of hybrid force/motion skills learning for robots},
 venue = {IEEE Transactions on Cognitive …},
 volume = {13}
}

@article{monforte2020reinforcement,
 abstract = {Postural synergies allow a rich set of hand configurations to be represented in lower dimension space compared to the original joint space. In our previous works, we have shown that this can be extended to trajectories thanks to the multivariate functional principal component analysis, obtaining a set of basis functions able to represent grasping movements learned from human demonstration. In this article, we introduce a human cognition-inspired approach for generalizing and improving robot grasping skills in this},
 author = {Monforte, Marco and Ficuciello, Fanny},
 journal = {IEEE Transactions on Cognitive and Developmental Systems},
 number = {1},
 pages = {132--140},
 pub_year = {2020},
 publisher = {IEEE},
 title = {A Reinforcement Learning Method Using Multifunctional Principal Component Analysis for Human-Like Grasping},
 venue = {IEEE Transactions on Cognitive and …},
 volume = {13}
}

@article{verner2021exploring,
 abstract = {with the knowledge of smart connected robot systems. This paper presents the high-school  enrichment program Intelligent Robotics and Smart Transportation, which implements an  approach to teaching the concepts and skills of robot connectivity, collaborative sensing,},
 author = {Verner, Igor M and Cuperman, Dan and Reitman, Michael},
 journal = {Robotics},
 number = {1},
 pages = {13},
 pub_year = {2021},
 publisher = {Multidisciplinary Digital Publishing Institute},
 title = {Exploring robot connectivity and collaborative sensing in a high-school enrichment program},
 venue = {Robotics},
 volume = {10}
}

@inproceedings{omer2021model,
 abstract = {Dexterous multi-fingered robotic hands represent a promising solution for robotic manipulators to perform a wide range of complex tasks, through acquiring more general purpose skills. Nevertheless, developing complex behaviours for a robot needs sophisticated control strategies, which requires domain expertise with a good understanding of mathematics, and underlying physics, this will be very difficult for such complex robots. Learning algorithms like deep reinforcement learning provide a general framework for},
 author = {Omer, Muhammad and Ahmed, Rami and Rosman, Benjamin and Babikir, Sharief F},
 booktitle = {2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)},
 organization = {IEEE},
 pages = {1--6},
 pub_year = {2021},
 title = {Model Predictive-Actor Critic Reinforcement Learning for Dexterous Manipulation},
 venue = {… on Computer, Control …}
}

@article{bi2021safety,
 abstract = {Collaborative robots (cobots) are robots that are designed to collaborate with humans in an open workspace. In contrast to industrial robots in an enclosed environment, cobots need additional mechanisms to assure humans' safety in collaborations. It is especially true when a cobot is used in manufacturing environment; since the workload or moving mass is usually large enough to hurt human when a contact occurs. In this article, we are interested in understanding the existing studies on cobots, and especially, the safety requirements, and},
 author = {Bi, ZM and Luo, Chaomin and Miao, Zhonghua and Zhang, Bing and Zhang, WJ and Wang, Lihui},
 journal = {Robotics and Computer-Integrated Manufacturing},
 pages = {102022},
 pub_year = {2021},
 publisher = {Elsevier},
 title = {Safety assurance mechanisms of collaborative robotic systems in manufacturing},
 venue = {Robotics and Computer …},
 volume = {67}
}

@article{kumar2021discovering,
 abstract = {Exercising sensorimotor and cognitive functions allows humans, including infants, to interact with the environment and objects within it. In particular, during everyday activities, infants continuously enrich their repertoire of actions, and by playing, they experimentally plan such actions in sequences to achieve desired goals. The latter, reflected as perceptual target states, are built on previously acquired experiences shaped by infants to predict their actions. Imitating this, in developmental robotics, we seek methods that allow autonomous},
 author = {Kumar, Suresh and Giagkos, Alexandros and Shaw, Patricia and Braud, Rapha{\"e}l and Lee, Mark and Shen, Qiang},
 journal = {IEEE Transactions on Cognitive and Developmental Systems},
 pub_year = {2021},
 publisher = {IEEE},
 title = {Discovering Schema-based Action Sequences through Play in Situated Humanoid Robots},
 venue = {… on Cognitive and …}
}

@article{martin2021generic,
 abstract = {To meet the demands of a rising population greenhouses must face the challenge of producing more in a more efficient and sustainable way. Innovative mobile robotic solutions with flexible navigation and manipulation strategies can help monitor the field in real-time. Guided by Integrated Pest Management strategies, robots can perform early pest detection and selective treatment tasks autonomously. However, combining the different robotic skills is an error prone work that requires experience in many robotic fields, usually deriving on ad},
 author = {Martin, Jon and Ansuategi, Ander and Maurtua, I{\~n}aki and Gutierrez, Aitor and Obreg{\'o}n, David and Casquero, Oskar and Marcos, Marga},
 journal = {IEEE Access},
 pages = {94981--94995},
 pub_year = {2021},
 publisher = {IEEE},
 title = {A Generic ROS-Based Control Architecture for Pest Inspection and Treatment in Greenhouses Using a Mobile Manipulator},
 venue = {IEEE …},
 volume = {9}
}

@article{dong2021deep,
 abstract = {Humanoid robots are being developed to play the role of personal assistants. With the development of artificial intelligence technology, humanoid robots are expected to perform many human tasks, such as housework, human care, and even medical treatment. However, robots cannot currently move flexibly like humans, which affects their fine motor skill performance. This is primarily because traditional robot control methods use manipulators that are difficult to articulate well. To solve this problem, we propose a nonlinear realistic},
 author = {Dong, Ran and Chang, Qiong and Ikuno, Soichiro},
 journal = {Neural Computing and Applications},
 pages = {1--14},
 pub_year = {2021},
 publisher = {Springer},
 title = {A deep learning framework for realistic robot motion generation},
 venue = {Neural Computing and Applications}
}

@article{ali2021lead,
 abstract = {Welding is a complex manufacturing process. Its quality depends on the welder skills, especially in welding complex paths. For consistency in modern industries, the arm robot is used to accomplish this task. However, its programming and reprogramming are time consuming and costly and need an expert programmer. These limit the use of robots in medium and small industries. This paper introduces a new supervised learning technique for programming a 4-degree of freedom (DOF) welding arm robot with an automatic feeding},
 author = {Ali, Mohamed Hosni Mohamed and Atia, Mostafa Rostom},
 journal = {Robotica},
 pages = {1--11},
 pub_year = {2021},
 publisher = {Cambridge University Press},
 title = {A lead through approach for programming a welding arm robot using machine vision},
 venue = {Robotica}
}

@inproceedings{radicchi2021helping,
 abstract = {The creation of robotic systems demands the formalization of how-to-do rules. However, professional workers interact with the world in a way that goes beyond formal rules, such as when facing unforeseen and context-dependent events. The solution to replace human tasks by robotic systems consists in the creation of “micro-worlds”, which presuppose controlled environments, with fixed rules, in which robots are able to operate successfully. Accordingly, such micro-worlds must be designed, built, supervised, maintained and},
 author = {Radicchi, Natalia and Detoie, Luciana and Ribeiro, Rodrigo and Lima, Francisco},
 booktitle = {Congress of the International Ergonomics Association},
 organization = {Springer},
 pages = {256--264},
 pub_year = {2021},
 title = {Helping a Robot to be “Autonomous”: The Expertise of a (Human) Roboticist in a Manufacturing Plant},
 venue = {Congress of the International …}
}

@inproceedings{rodic2021cloud,
 abstract = {The paper presents a new prototype of a bi-manual, collaborative service robot for industrial purpose designed for use in the so–called customized production within the Industry 4.0 initiative. The robot is a significant technological means of supporting Small and Medium-sized Enterprises (SMEs) engaged in the manufacturing of products intended for the market. The bi-manual collaborative robot has the features of enhanced operational versatility and flexibility within technological production, thanks to a specific mechanical construction with},
 author = {Rodi{\'c}, Aleksandar and {\v{S}}umarac, Jovan and Stevanovi{\'c}, Ilija and Jovanovi{\'c}, Milo{\v{s}}},
 booktitle = {International Conference on Robotics in Alpe-Adria Danube Region},
 organization = {Springer},
 pages = {240--249},
 pub_year = {2021},
 title = {Cloud-Enabled Bi-manual Collaborative Robot with Enhanced Versatility for Customized Production},
 venue = {… Conference on Robotics in …}
}

@inproceedings{profanter2019hardware,
 abstract = {The current trend to lot-size-one production requires reduced integration effort and easy reuse of available devices inside the production line. These devices have to offer a uniform interface to fulfill these requirements. This paper presents a hardware-agnostic skill model using the semantic modeling capabilities of OPC UA. The model provides a standardized interface to hardware or software functionality while offering an intuitive way of grouping multiple skills to a higher hierarchical abstraction. Our skill model is based on OPC UA},
 author = {Profanter, Stefan and Breitkreuz, Ari and Rickert, Markus and Knoll, Alois},
 booktitle = {2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
 organization = {IEEE},
 pages = {1061--1068},
 pub_year = {2019},
 title = {A hardware-agnostic OPC UA skill model for robot manipulators and tools},
 venue = {2019 24th IEEE …}
}

@inproceedings{calderon2010teaching,
 abstract = {Learning by imitation represent a useful and promising alternative to programming robots. This paper presents an approach for learning by imitation based on two functional elements used by humans to understand and perform actions. One is the representation of the body that contains information of the body's capabilities. The other one is a snapshot of the body and its relation with the environment at a given instant. These elements are believed to interact to generate among other abilities, the ability to imitate. Learning new tasks is then},
 author = {Calderon, Carlos A Acosta and Mohan, Rajesh E and Zhou, Changjiu},
 booktitle = {2010 IEEE Conference on Robotics, Automation and Mechatronics},
 organization = {IEEE},
 pages = {256--262},
 pub_year = {2010},
 title = {Teaching new tricks to a robot learning to solve a task by imitation},
 venue = {2010 IEEE Conference on …}
}

@inproceedings{aein2013toward,
 abstract = {The goal of this study is to provide an architecture for a generic definition of robot manipulation actions. We emphasize that the representation of actions presented here is “procedural”. Thus, we will define the structural elements of our action representations as execution protocols. To achieve this, manipulations are defined using three levels. The toplevel defines objects, their relations and the actions in an abstract and symbolic way. A mid-level sequencer, with which the action primitives are chained, is used to structure the},
 author = {Aein, Mohamad Javad and Aksoy, Eren Erdal and Tamosiunaite, Minija and Papon, Jeremie and Ude, Ales and W{\"o}rg{\"o}tter, Florentin},
 booktitle = {2013 IEEE/RSJ International Conference on Intelligent Robots and Systems},
 organization = {IEEE},
 pages = {4555--4562},
 pub_year = {2013},
 title = {Toward a library of manipulation actions based on semantic object-action relations},
 venue = {2013 IEEE/RSJ …}
}

@inproceedings{ahad2010action,
 abstract = {Human action understanding and analysis for various applications are still in infancy due to various factors. In this paper, for recognizing various complex activities, a combined cue for motion representation and later recognition is demonstrated based on the optical flow-based four directional motion history and basic energy images. Optical flow between consecutive frames are computed to create the update function and to segment the moving regions. These motion vectors are split into four different channels. From these channels, the},
 author = {Ahad, Md Atiqur Rahman and Tan, J and Kim, Hyoungseop and Ishikawa, Seiji},
 booktitle = {2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops},
 organization = {IEEE},
 pages = {73--78},
 pub_year = {2010},
 title = {Action recognition by employing combined directional motion history and energy images},
 venue = {2010 IEEE Computer …}
}

@article{hwang2017seamless,
 abstract = {This paper investigates how adequate coordination among the different cognitive processes of a humanoid robot can be developed through end-to-end learning of direct perception of visuomotor stream. We propose a deep dynamic neural network model built on a dynamic vision network, a motor generation network, and a higher-level network. The proposed model was designed to process and to integrate direct perception of dynamic visuomotor patterns in a hierarchical model characterized by different spatial and temporal constraints},
 author = {Hwang, Jungsik and Tani, Jun},
 journal = {IEEE Transactions on Cognitive and Developmental Systems},
 number = {2},
 pages = {345--358},
 pub_year = {2017},
 publisher = {IEEE},
 title = {Seamless integration and coordination of cognitive skills in humanoid robots: A deep learning approach},
 venue = {IEEE Transactions on Cognitive and …},
 volume = {10}
}

@article{ji2018one,
 abstract = {In a natural and accessible Human Robot Interaction (HRI), it is required to understand human activities instantly. In this paper, we present a novel approach for early recognition of human actions. Using reinforcement learning, we separate human action to several patterns and learn pattern transition maps which include temporal ordered patterns and their transition relationships in action sequences. Due to the difficulty of pattern separation and definition in large quantity of action sequences for training, we adopt one-shot learning to},
 author = {Ji, Yanli and Yang, Yang and Xu, Xing and Shen, Heng Tao},
 journal = {Signal Processing},
 pages = {364--370},
 pub_year = {2018},
 publisher = {Elsevier},
 title = {One-shot learning based pattern transition map for action early recognition},
 venue = {Signal Processing},
 volume = {143}
}

@article{madarash2004enhancing,
 abstract = {The IEEE Xplore online delivery system provides researchers at science and engineering  libraries with the  full text PDF files of IEEE conference proceedings. The University of Akron  recently added full text PDF hotlinks to the print records of both serial and monographic IEEE},
 author = {Madarash-Hill, Cherie and Hill, JB},
 journal = {Science \& Technology Libraries},
 number = {3-4},
 pages = {389--399},
 pub_year = {2004},
 publisher = {Taylor \& Francis},
 title = {Enhancing access to ieee conference proceedings: a case study in the application of ieee xplore full text and table of contents enhancements},
 venue = {Science & Technology Libraries},
 volume = {24}
}

@article{zimmer2017bootstrapping,
  title={Bootstrapping $ q $-learning for robotics from neuro-evolution results},
  author={Zimmer, Matthieu and Doncieux, Stephane},
  journal={IEEE Transactions on Cognitive and Developmental Systems},
  volume={10},
  number={1},
  pages={102--119},
  year={2017},
  publisher={IEEE}
}

@article{dindo2017hankelet,
 abstract = {Powered lower-limb prostheses require a natural, and an easy-to-use, interface for communicating amputee's motor intention in order to select the appropriate motor program in any given context, or simply to commute from active (powered) to passive mode of functioning. To be widely accepted, such an interface should not put additional cognitive load at the end-user, it should be reliable and minimally invasive. In this paper we present a one such interface based on a robust method for detecting and recognizing motor actions},
 author = {Dindo, Haris and Presti, Liliana Lo and La Cascia, Marco and Chella, Antonio and Dedi{\'c}, Remzo},
 journal = {Robotics and Autonomous Systems},
 pages = {120--133},
 pub_year = {2017},
 publisher = {Elsevier},
 title = {Hankelet-based action classification for motor intention recognition},
 venue = {Robotics and …},
 volume = {94}
}

@article{hardwick2017neural,
 abstract = {There is longstanding interest in the relationship between motor imagery, action observation, and movement execution. Several models propose that these tasks recruit the same brain regions in a similar manner; however, there is no quantitative synthesis of the literature that compares their respective networks. Here we summarized data from neuroimaging experiments examining Motor Imagery (303 experiments, 4,902 participants), Action Observation (595 experiments, 11,032 participants), and related control tasks},
 author = {Hardwick, Robert M and Caspers, Svenja and Eickhoff, Simon B and Swinnen, Stephan P},
 journal = {BioRxiv},
 pages = {198432},
 pub_year = {2017},
 publisher = {Cold Spring Harbor Laboratory},
 title = {Neural correlates of motor imagery, action observation, and movement execution: a comparison across quantitative meta-analyses},
 venue = {BioRxiv}
}

@inproceedings{ahmadzadeh2015learning,
 abstract = {In this paper, a robot learning approach is proposed which integrates Visuospatial Skill Learning, Imitation Learning, and conventional planning methods. In our approach, the sensorimotor skills (ie, actions) are learned through a learning from demonstration strategy. The sequence of performed actions is learned through demonstrations using Visuospatial Skill Learning. A standard action-level planner is used to represent a symbolic description of the skill, which allows the system to represent the skill in a discrete, symbolic form. The},
 author = {Ahmadzadeh, Seyed Reza and Paikan, Ali and Mastrogiovanni, Fulvio and Natale, Lorenzo and Kormushev, Petar and Caldwell, Darwin G},
 booktitle = {2015 IEEE International Conference on Robotics and Automation (ICRA)},
 organization = {IEEE},
 pages = {3801--3808},
 pub_year = {2015},
 title = {Learning symbolic representations of actions from human demonstrations},
 venue = {… on Robotics and …}
}

@inproceedings{grave2012incremental,
 abstract = {The ability to recognize human actions is a fundamental problem in many areas of robotics research concerned with human-robot interaction or learning from human demonstration. In this paper, we present a new integrated approach to identifying and recognizing actions in human movement sequences and their reproduction in unknown situations. We propose a set of task-space features to construct probabilistic models of action classes. Based on this representation, we suggest a combined segmentation and classification algorithm which},
 author = {Gr{\"a}ve, Kathrin and Behnke, Sven},
 booktitle = {2012 IEEE/RSJ International Conference on Intelligent Robots and Systems},
 organization = {IEEE},
 pages = {751--757},
 pub_year = {2012},
 title = {Incremental action recognition and generalizing motion generation based on goal-directed features},
 venue = {2012 IEEE/RSJ International Conference …}
}

@inproceedings{nakawala2018approaches,
 abstract = {Robust representation of actions and its sequences for complex robotic tasks would transform robot's understanding to execute robotic tasks efficiently. The challenge is to understand action sequences for highly unstructured environments and to represent and construct action and action sequences. In this manuscript, we present a review of literature dealing with representation of action and action sequences for robot task planning and execution. The methodological review was conducted using Google Scholar and IEEE},
 author = {Nakawala, Hirenkumar and Goncalves, Paulo JS and Fiorini, Paolo and Ferringo, Giancarlo and De Momi, Elena},
 booktitle = {2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 organization = {IEEE},
 pages = {5666--5671},
 pub_year = {2018},
 title = {Approaches for action sequence representation in robotics: A review},
 venue = {2018 IEEE/RSJ …}
}

@article{akkaladevi2019skill,
 abstract = {In recent years, a paradigm shift is underway as robots leave their typical application field and move into domains that have been untouched by robotic automation. These new kinds of automation systems allow more product variations, smaller life cycles, smaller batch sizes and pave the way from mass production to mass customization. This is due to completely new breed of safe robot technology but also novel ways of setting up new applications like eg kinesthetic programming. However, the topic of reducing the programming effort for},
 author = {Akkaladevi, Sharath Chandra and Pichler, Andreas and Plasch, Matthias and Ikeda, Markus and Hofmann, Michael},
 journal = {e \& i Elektrotechnik und Informationstechnik},
 number = {7},
 pages = {326--333},
 pub_year = {2019},
 publisher = {Springer},
 title = {Skill-based programming of complex robotic assembly tasks for industrial application},
 venue = {e & i Elektrotechnik und …},
 volume = {136}
}

@article{steinmetz2019intuitive,
 abstract = {Intuitive robot programming for non-experts will be essential to increasing automation in small and medium-sized enterprises. Programming by demonstration (PbD) is a fast and intuitive approach, whereas programs created with task-level programming (TLP) are easy to understand and flexible in their execution. In this letter, we propose an approach which combines these complementary advantages of PbD and TLP. Users define complete task-level programs including all parameters through PbD alone. Therefore, we call this},
 author = {Steinmetz, Franz and Nitsch, Verena and Stulp, Freek},
 journal = {IEEE Robotics and Automation Letters},
 number = {4},
 pages = {3742--3749},
 pub_year = {2019},
 publisher = {IEEE},
 title = {Intuitive task-level programming by demonstration through semantic skill recognition},
 venue = {IEEE Robotics and Automation …},
 volume = {4}
}

@inproceedings{lindorfer2019towards,
 abstract = {Upcoming trends in manufacturing focus on flexible configuration of products up to lot-size one. This mass customization raises a need of flexible manufacturing and production systems that should react on fast changing market demands. As a result, it is getting more and more important to model all needed assets or skills in an user-oriented and configurable manner. Assets can represent any type of data or skill information needed in a manufacturing domain. Data information could be for example shown to a human worker (eg},
 author = {Lindorfer, Ren{\'e} and Froschauer, Roman},
 booktitle = {2019 IEEE 17th International Conference on Industrial Informatics (INDIN)},
 organization = {IEEE},
 pages = {655--660},
 pub_year = {2019},
 title = {Towards user-oriented programming of skill-based automation systems using a domain-specific meta-modeling approach},
 venue = {2019 IEEE 17th International …},
 volume = {1}
}

@article{krueger2019testing,
 abstract = {In recent years, cognitive robots have started to find their way into manufacturing halls. However, the full potential of these robots can only be exploited through (a) an integration of the robots with the Manufacturing Execution System (MES),(b) a new and simpler way of programming based on robot skills, automated task planning, and knowledge modeling, and (c) enabling the robots to function in a shared human/robot workspace with the ability to handle unexpected situations. The STAMINA project has built a robotic system that meets},
 author = {Krueger, Volker and Rovida, Francesco and Grossmann, Bjarne and Petrick, Ronald and Crosby, Matthew and Charzoule, Arnaud and Garcia, German Martin and Behnke, Sven and Toscano, Cesar and Veiga, Germano},
 journal = {Robotics and computer-integrated manufacturing},
 pages = {213--229},
 pub_year = {2019},
 publisher = {Elsevier},
 title = {Testing the vertical and cyber-physical integration of cognitive robots in manufacturing},
 venue = {Robotics and computer …},
 volume = {57}
}

@inproceedings{scherzinger2019contact,
 abstract = {Robotic automation is a key driver for the advancement of technology. The skills of human workers, however, are difficult to program and seem currently unmatched by technical systems. In this work we present a data-driven approach to extract and learn robot-independent contact skills from human demonstrations in simulation environments, using a Long Short Term Memory (LSTM) network. Our model learns to generate error-correcting sequences of forces and torques in task space from object-relative motion, which industrial},
 author = {Scherzinger, Stefan and Roennau, Arne and Dillmann, R{\"u}diger},
 booktitle = {2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 organization = {IEEE},
 pages = {4309--4316},
 pub_year = {2019},
 title = {Contact skill imitation learning for robot-independent assembly programming},
 venue = {2019 IEEE/RSJ …}
}

@inproceedings{johannsmeier2019framework,
 abstract = {In this paper we introduce a novel framework for expressing and learning force-sensitive robot manipulation skills. It is based on a formalism that extends our previous work on adaptive impedance control with meta parameter learning and compatible skill specifications. This way the system is also able to make use of abstract expert knowledge by incorporating process descriptions and quality evaluation metrics. We evaluate various state-of-the-art schemes for meta parameter learning and experimentally compare selected ones},
 author = {Johannsmeier, Lars and Gerchow, Malkin and Haddadin, Sami},
 booktitle = {2019 International Conference on Robotics and Automation (ICRA)},
 organization = {IEEE},
 pages = {5844--5850},
 pub_year = {2019},
 title = {A framework for robot manipulation: Skill formalism, meta learning and adaptive control},
 venue = {… Conference on Robotics …}
}

@inproceedings{nagele2019composition,
 abstract = {Skill-based approaches for programming robots promise many benefits such as easier reuse of functionality across applications, encapsulation and hiding of process details, and often a certain level of hardware abstraction. While many previous approaches allow to compose high-level skills, the basic skills themselves are usually atomic, non-extensible, or are supposed to be created by experts beforehand. We designed a prototype-based skill model to create forcecontrolled manipulation skills for robotic assembly tasks. In this paper},
 author = {N{\"a}gele, Frank and Halt, Lorenz and Tenbrock, Philipp and Pott, Andreas},
 booktitle = {2019 Third IEEE International Conference on Robotic Computing (IRC)},
 organization = {IEEE},
 pages = {177--182},
 pub_year = {2019},
 title = {Composition and incremental refinement of skill models for robotic assembly tasks},
 venue = {2019 Third IEEE …}
}

@article{angleraud2019teaching,
 abstract = {Recent advances in robotics allow for collaboration between humans and machines in performing tasks at home or in industrial settings without harming the life of the user. While humans can easily adapt to each other and work in team, it is not as trivial for robots. In their case, interaction skills typically come at the cost of extensive programming and teaching. Besides, understanding the semantics of a task is necessary to work efficiently and react to changes in the task execution process. As a result, in order to achieve seamless},
 author = {Angleraud, Alexandre and Houbre, Quentin and Pieters, Roel},
 journal = {Paladyn, Journal of Behavioral Robotics},
 number = {1},
 pages = {318--329},
 pub_year = {2019},
 publisher = {Sciendo},
 title = {Teaching semantics and skills for human-robot collaboration},
 venue = {Paladyn, Journal of Behavioral …},
 volume = {10}
}

@article{al2019symbolic,
 abstract = {This paper investigates a symbolic-based CS recognition approach which combines feature  transformation methods, ie, Principal  reduce the computational effort required for CS  recognition. As a validation example, the PiH assembly was adopted to demonstrate the efficiency},
 author = {Al-Yacoub, Ali and Zhao, Yuchen and Lohse, Niels and Goh, Mey and Kinnell, Peter and Ferreira, Pedro and Hubbard, Ella-Mae},
 journal = {Frontiers in Robotics and AI},
 pages = {99},
 pub_year = {2019},
 publisher = {Frontiers},
 title = {Symbolic-based recognition of contact states for learning assembly skills},
 venue = {Frontiers in Robotics …}
}

@inproceedings{pohlt2019human,
 abstract = {Collaboration between robots and humans requires communicative skills on both sides. The robot has to understand the conscious and unconscious activities of human workers. Many state-of-the-art activity recognition algorithms with high performance rates on existing benchmark datasets are available for this task. This paper re-evaluates appropriate architectures in light of human work activity recognition for working cells in industrial production contexts. The specific constraints of such a domain is elaborated and used as},
 author = {Pohlt, Clemens and Schlegl, Thomas and Wachsmuth, Sven},
 booktitle = {2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)},
 organization = {IEEE},
 pages = {4225--4230},
 pub_year = {2019},
 title = {Human work activity recognition for working cells in industrial production contexts},
 venue = {2019 IEEE International …}
}

@inproceedings{ochoa2019control,
 abstract = {This paper describes a computed-torque control architecture for robotic-assisted polishing tasks based on human demonstration. An impedance control approach for both robot position and orientation is investigated without explicit force sensing, relying on compliant frames relative to the end-effector and on posture optimization in the null space. For the orientation control the approach relies on rotation matrix properties connected to the axis-angle formulation, having no singularity problems. Additionally, we also propose a robust},
 author = {Ochoa, H{\'e}lio and Cortes{\~a}o, Rui},
 booktitle = {IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society},
 organization = {IEEE},
 pages = {630--637},
 pub_year = {2019},
 title = {Control architecture for robotic-assisted polishing tasks based on human skills},
 venue = {IECON 2019-45th Annual Conference of …},
 volume = {1}
}

@inproceedings{jaensch2019reinforcement,
 abstract = {This paper introduces a method for automatic robot programming of industrial robots using reinforcement learning on a Software-in-the-loop simulation. The focus of the the paper is on the higher levels of a hierarchical robot programming problem. While the lower levels the skills are stored as domain specific program code, the combination of the skills into a robot control program to solve a specific task is automated. The reinforcement learning learning approach allows the shopfloor workers and technicians just to define the end result of the},
 author = {Jaensch, Florian and Csiszar, Akos and Sarbandi, Janik and Verl, Alexander},
 booktitle = {2019 Second International Conference on Artificial Intelligence for Industries (AI4I)},
 organization = {IEEE},
 pages = {79--84},
 pub_year = {2019},
 title = {Reinforcement learning of a robot cell control logic using a software-in-the-loop simulation as environment},
 venue = {… Conference on Artificial …}
}

@inproceedings{zhen2019adaptive,
 abstract = {Many industry manufacturing processes require a lot of manpower to accomplish tasks manually, for example, manual polishing and masking. Industrial robot can be used to replace most of the tedious and repeated tasks. However, using robot program to generate the tool path for the manufacturing process might need programming skills and expertise. Besides, Computer Aided Design (CAD) files might not be available or accurate for the engineer to design the robot tool path. Hence, we propose an automatic way to generate the},
 author = {Zhen, Xie and Seng, Josh Chen Ye and Somani, Nikhil},
 booktitle = {2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
 organization = {IEEE},
 pages = {341--347},
 pub_year = {2019},
 title = {Adaptive automatic robot tool path generation based on point cloud projection algorithm},
 venue = {2019 24th IEEE International …}
}

@article{malik2019complexity,
 abstract = {Purpose Over the past years, collaborative robots have been introduced as a new generation of industrial robotics working alongside humans to share the workload. These robots have the potential to enable human–robot collaboration (HRC) for flexible automation. However, the deployment of these robots in industrial environments, particularly in assembly, still comprises several challenges, of which one is skills-based tasks distribution between humans and robots. With ever-decreasing product life cycles and high},
 author = {Malik, Ali Ahmad and Bilberg, Arne},
 journal = {Industrial Robot: the international journal of robotics research and application},
 pub_year = {2019},
 publisher = {Emerald Publishing Limited},
 title = {Complexity-based task allocation in human-robot collaborative assembly},
 venue = {Industrial Robot: the international journal of …}
}

@inproceedings{zhao2019robot,
 abstract = {Industrial robots have been widely used in various production line but not in the 3C assembly line which is characterized by highly frequent change-over and still relies on labor heavily. To deal with this challenge, the Programming by Demonstration (PbD) method, which provides a simple and intuitive way for workers to transfer skills to the robot, will greatly reduces professional knowledge requirements for robot users. However, some practical factors in 3C assembly line, such as the mechanical diversities between the human},
 author = {Zhao, Zhilong and Hu, Haopeng and Yang, Xiansheng and Lou, Yunjiang},
 booktitle = {2019 WRC Symposium on Advanced Robotics and Automation (WRC SARA)},
 organization = {IEEE},
 pages = {172--177},
 pub_year = {2019},
 title = {A Robot Programming by Demonstration Method for Precise Manipulation in 3C Assembly},
 venue = {2019 WRC Symposium on …}
}

@inproceedings{cao2019robot,
 abstract = {With the development of the Internet and computer technology, the demand for 3C products such as mobile phones has surged. At the same time, due to the continuous improvement of labor costs, it is urgent to automate the 3C assembly lines with industrial robots. The motivation of this paper is to propose an efficient off-line programming by demonstration method to automate 3C assembly lines. This process consists of two phases. In the first phase, the optical motion capture device is used to capture the position and orientation},
 author = {Cao, Zhiqi and Hu, Haopeng and Yang, Xiansheng and Lou, Yunjiang},
 booktitle = {2019 WRC Symposium on Advanced Robotics and Automation (WRC SARA)},
 organization = {IEEE},
 pages = {13--18},
 pub_year = {2019},
 title = {A robot 3C assembly skill learning method by intuitive human assembly demonstration},
 venue = {2019 WRC Symposium on …}
}

@inproceedings{lazaro2019approach,
 abstract = {One of the major objectives of international projects in the field of Industrial Automation is to achieve a proper and safe human-robot collaboration. This will permit the coexistence of both humans and robots at factory shop floors, where each one has a clear role along the industrial processes. It's a matter of fact that machines, including robots, have specific features that determine the kind of operation (s) that they can perform better. Similarly, human operators have a set of skills and knowledge that permits them to accomplish their},
 author = {L{\'a}zaro, Olatz De Miguel and Mohammed, Wael M and Ferrer, Borja Ramis and Bejarano, Ronal and Lastra, Jose L Martinez},
 booktitle = {2019 IEEE 17th International Conference on Industrial Informatics (INDIN)},
 organization = {IEEE},
 pages = {789--794},
 pub_year = {2019},
 title = {An approach for adapting a cobot workstation to human operator within a deep learning camera},
 venue = {2019 IEEE 17th …},
 volume = {1}
}

@inproceedings{yuan2019mirrored,
 abstract = {With the increasing demands from industrial and daily usage, dexterous robot manipulation in unstructured environment becomes a very important technology to make robots behave smartly and interact with people intelligently. To deal with the challenge in efficient task teaching of a robot with multiple Degree-of-freedom (DoF) for dexterous manipulation, this paper develops a mirrored motion remapping method, for enabling a human operator to teach a dual-arm robot face-to-face by direct human motion through handheld HTC VIVE},
 author = {Yuan, Qilong and Weng, Ching-Yen and Lim, Zhong Jin and Chen, I-Ming},
 booktitle = {2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)},
 organization = {IEEE},
 pages = {1086--1091},
 pub_year = {2019},
 title = {A mirrored motion remapping method in telemanipulation-based face-to-face dual-arm robot teaching},
 venue = {2019 IEEE/ASME …}
}

@article{liu2019human,
 abstract = {Purpose The purpose of this paper is to propose a new method based on three-dimensional (3D) vision technologies and human skill integrated deep learning to solve assembly positioning task such as peg-in-hole. Design/methodology/approach Hybrid camera configuration was used to provide the global and local views. Eye-in-hand mode guided the peg to be in contact with the hole plate using 3D vision in global view. When the peg was in contact with the workpiece surface, eye-to-hand mode provided the local view to accomplish},
 author = {Liu, Yi and Cong, Ming and Dong, Hang and Liu, Dong},
 journal = {Industrial Robot: the international journal of robotics research and application},
 pub_year = {2019},
 publisher = {Emerald Publishing Limited},
 title = {Human skill integrated motion planning of assembly manipulation for 6R industrial robot},
 venue = {Industrial Robot: the international …}
}

@techreport{gill2019evaluation,
  title={Evaluation of Navigation in Mobile Robots for Long-Term Autonomy in Automotive Manufacturing Environments},
  author={Gill, Jasprit Singh and Tomaszewski, Mark and Jia, Yunyi and Pisu, Pierluigi and Krovi, Venkat N},
  year={2019},
  institution={SAE Technical Paper}
}

@article{luo2019task,
 abstract = {Telerobotic systems have attracted growing attention because of their superiority in the dangerous or unknown interaction tasks. It is very challenging to exploit such systems to implement complex tasks in an autonomous way. In this paper, we propose a task learning framework to represent the manipulation skill demonstrated by a remotely controlled robot. Gaussian mixture model is utilized to encode and parametrize the smooth task trajectory according to the observations from the demonstrations. After encoding the demonstrated},
 author = {Luo, Jing and Yang, Chenguang and Li, Qiang and Wang, Min},
 journal = {International Journal of Humanoid Robotics},
 number = {02},
 pages = {1950009},
 pub_year = {2019},
 publisher = {World Scientific},
 title = {A task learning mechanism for the telerobots},
 venue = {International Journal of Humanoid …},
 volume = {16}
}

@article{perico2019combining,
 abstract = {This letter combines an combines an imitation learning approach with a model-based and constraint-based task specification and control methodology. Imitation learning provides an intuitive way for the end user to specify context of a new robot application without the need of traditional programming skills. On the other hand, constraint-based robot programming allows us to define complex tasks involving different kinds of sensor input. Combination of both enables adaptation of complex tasks to new environments and new objects with a small},
 author = {Perico, Cristian Alejandro Vergara and De Schutter, Joris and Aertbeli{\"e}n, Erwin},
 journal = {IEEE Robotics and Automation Letters},
 number = {2},
 pages = {1892--1899},
 pub_year = {2019},
 publisher = {IEEE},
 title = {Combining imitation learning with constraint-based task specification and control},
 venue = {IEEE Robotics and …},
 volume = {4}
}

@article{gomes2019challenges,
 abstract = {Heterogeneous multirobot systems have shown significant potential in many applications. Cooperative coevolutionary algorithms (CCEAs) represent a promising approach to synthesise controllers for such systems, as they can evolve multiple co-adapted components. Although CCEAs allow for an arbitrary level of team heterogeneity, in previous works heterogeneity is typically only addressed at the behavioural level. In this paper, we study the use of CCEAs to evolve control for a heterogeneous multirobot system where the},
 author = {Gomes, Jorge and Mariano, Pedro and Christensen, Anders Lyhne},
 journal = {Natural Computing},
 number = {1},
 pages = {29--46},
 pub_year = {2019},
 publisher = {Springer},
 title = {Challenges in cooperative coevolution of physically heterogeneous robot teams},
 venue = {Natural Computing},
 volume = {18}
}

@article{de2019bio,
 abstract = {This paper aims to present a cooperative and distributed navigation strategy, that is an on-line path planner, for an autonomous multi-robot system. The robots are intended to navigate and explore an unknown environment in order to find and reach obligatory passage points or way-points (goals), and then achieve a known final position. All robots in the team are homogeneous, independent and have limited communication skills. However they interact among them and with the environment to autonomously decide about their},
 author = {de Almeida, Jo{\~a}o Paulo Lima Silva and Nakashima, Renan Taizo and Neves-Jr, Fl{\'a}vio and de Arruda, L{\'u}cia Val{\'e}ria Ramos},
 journal = {Robotics and Autonomous Systems},
 pages = {32--48},
 pub_year = {2019},
 publisher = {Elsevier},
 title = {Bio-inspired on-line path planner for cooperative exploration of unknown environment by a Multi-Robot System},
 venue = {Robotics and …},
 volume = {112}
}

@article{malik2019advances,
 abstract = {Human-robot collaboration can be used to share workload to form semi-automated production systems. Assembly operations are recognized with high potential to increase productivity by using the best skills of humans and robots in a combination. Components and parts to be assembled need to be structured and presented to the robot in a known location and orientation. The process of presenting parts to the robot for assembly tasks is referred to as parts feeding. Feeding system needs to be adaptable to dynamics of parts'},
 author = {Malik, Ali Ahmad and Andersen, Martin Vejling and Bilberg, Arne},
 journal = {Procedia Manufacturing},
 pages = {1228--1235},
 pub_year = {2019},
 publisher = {Elsevier},
 title = {Advances in machine vision for flexible feeding of assembly parts},
 venue = {Procedia Manufacturing},
 volume = {38}
}

@inproceedings{liang2019teaching,
 abstract = {Robots are expected to be widely used on future construction sites to assist human workers in the performance of repetitive physically-demanding tasks. Unlike typical manufacturing assembly lines, where parts are delivered to robots and workers in stationary workstations, construction robots and human workers must accumulate all necessary resources and repeatedly navigate to desired assembly locations on-site to perform useful work. The condition of such resources and the geometry of the environment are constantly changing},
 author = {Liang, Ci-Jyun and Kamat, VR and Menassa, CC},
 booktitle = {ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction},
 organization = {IAARC Publications},
 pages = {1305--1311},
 pub_year = {2019},
 title = {Teaching robots to perform construction tasks via learning from demonstration},
 venue = {ISARC. Proceedings of the …},
 volume = {36}
}

@article{dianatfar2019task,
 abstract = {In the manufacturing industry, industrial robots are employed to fulfill the repetitive, well defined and accurate tasks. Regarding the limitation of the robots to perform complex tasks, human intelligence and dexterity are needed to improve the flexibility of the system. The idea of combining the robot repeatability and accuracy with human skill has led to the emergence of Human-Robot Collaboration (HRC) concept. The paper aims to demonstrate that a human-robot workcell may have a capability to increase productivity compared to},
 author = {Dianatfar, Morteza and Latokartano, Jyrki and Lanz, Minna},
 journal = {Procedia CIRP},
 pages = {157--161},
 pub_year = {2019},
 publisher = {Elsevier},
 title = {Task balancing between human and robot in mid-heavy assembly tasks},
 venue = {Procedia CIRP},
 volume = {81}
}

@article{bilberg2019digital,
 abstract = {This paper discusses an object-oriented event-driven simulation as a digital twin of a flexible assembly cell coordinated with a robot to perform assembly tasks alongside human. The digital twin extends the use of virtual simulation models developed in the design phase of a production system to operations for real-time control, dynamic skill-based tasks allocation between human and robot, sequencing of tasks and developing robot program accordingly. The methodology combines lean methods of manual assembly in human–robot},
 author = {Bilberg, Arne and Malik, Ali Ahmad},
 journal = {CIRP annals},
 number = {1},
 pages = {499--502},
 pub_year = {2019},
 publisher = {Elsevier},
 title = {Digital twin driven human--robot collaborative assembly},
 venue = {CIRP annals},
 volume = {68}
}

@article{cini2019choice,
 abstract = {The human hand is capable of performing countless grasps and gestures that are the basis for social activities. However, which grasps contribute the most to the manipulation skills needed during collaborative tasks, and thus which grasps should be included in a robot companion, is still an open issue. Here, we investigated grasp choice and hand placement on objects during a handover when subsequent tasks are performed by the receiver and when in-hand and bimanual manipulation are not allowed. Our findings suggest that, in this},
 author = {Cini, F and Ortenzi, V and Corke, P and Controzzi, MJSR},
 journal = {Science Robotics},
 number = {27},
 pages = {eaau9757},
 pub_year = {2019},
 publisher = {American Association for the Advancement of Science},
 title = {On the choice of grasp type and location when handing over an object},
 venue = {Science Robotics},
 volume = {4}
}

@inproceedings{changizi2018comfort,
 abstract = {Proper design of workplaces improves task quality, engagement, and productivity of people in fulfilling their daily job. In human-robot cooperation (HRC) assignments, a human gives flexibility to the system with having the pre-developed skills. Moreover, using robots brings the possibility to support human for boring, repetitive, and heavy tasks. In this work, we introduce and experiment a set of factors used to design an HRC environment and modify these factors to provide optimized comfort for diverse people working beside an industrial},
 author = {Changizi, Alireza and Dianatfar, Morteza and Lanz, Minna},
 booktitle = {International Conference on Human Systems Engineering and Design: Future Trends and Applications},
 organization = {Springer},
 pages = {521--526},
 pub_year = {2018},
 title = {Comfort design in human robot cooperative tasks},
 venue = {International Conference on Human …}
}

@inproceedings{rozo2020learning,
 abstract = {Enabling robots to quickly learn manipulation skills is an important, yet challenging problem. Such manipulation skills should be flexible, eg, be able adapt to the current workspace configuration. Furthermore, to accomplish complex manipulation tasks, robots should be able to sequence several skills and adapt them to changing situations. In this work, we propose a rapid robot skill-sequencing algorithm, where the skills are encoded by object-centric hidden semi-Markov models. The learned skill models can encode multimodal},
 author = {Rozo, Leonel and Guo, Meng and Kupcsik, Andras G and Todescato, Marco and Schillinger, Philipp and Giftthaler, Markus and Ochs, Matthias and Spies, Markus and Waniek, Nicolai and Kesper, Patrick and others},
 booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 organization = {IEEE},
 pages = {9072--9079},
 pub_year = {2020},
 title = {Learning and sequencing of object-centric manipulation skills for industrial tasks},
 venue = {2020 IEEE/RSJ …}
}

@inproceedings{willibald2020collaborative,
 abstract = {Conventional robot programming methods are not suited for non-experts to intuitively teach robots new tasks. For this reason, the potential of collaborative robots for production cannot yet be fully exploited. In this work, we propose an active learning framework, in which the robot and the user collaborate to incrementally program a complex task. Starting with a basic model, the robot's task knowledge can be extended over time if new situations require additional skills. An on-line anomaly detection algorithm therefore automatically identifies},
 author = {Willibald, Christoph and Eiband, Thomas and Lee, Dongheui},
 booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 organization = {IEEE},
 pages = {5402--5409},
 pub_year = {2020},
 title = {Collaborative programming of conditional robot tasks},
 venue = {2020 IEEE/RSJ International …}
}

@inproceedings{hyonyoung2020development,
 abstract = {This paper introduces robot task planning recipe based on unit robot skills for multi task robots. In small quantity batch production and mixed flow manufacturing condition, machines and robots should execute various types of multi task for various shapes of objects. As a first step, this paper classified the actions of arm and gripper, and defined parameters of each modules; speed, type, and position. As a second step, this research organized unit actions for multiple tasks. Each action in the task was described by the arm or gripper positions},
 author = {Hyonyoung, Han and Eunseo, Lee and Hyunchul, Kang},
 booktitle = {2020 International Conference on Information and Communication Technology Convergence (ICTC)},
 organization = {IEEE},
 pages = {1720--1722},
 pub_year = {2020},
 title = {Development of Unit Robot Skill based Task Recipe for Task Planning},
 venue = {… Conference on Information …}
}

@inproceedings{wang2020enhancing,
 abstract = {This paper presents a novel distributed probabilistic framework based on movement primitives for flexible robots assembly implementation. Since modern advanced industrial cell usually deals with various tasks that are not fixed via-point trajectories but highly reconfigurable application templates, the industrial robots used in these applications must be capable of adapting and learning new skills on-demand, without programming experts. Therefore, we propose a probabilistic framework that could accommodate various learning},
 author = {Wang, Likun and Jia, Shuya and Wang, Guoyan and Turner, Alison and Ratchev, Svetan},
 booktitle = {2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
 organization = {IEEE},
 pages = {3832--3838},
 pub_year = {2020},
 title = {Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks},
 venue = {2020 IEEE International …}
}

@inproceedings{heuss2020integration,
 abstract = {The application of industrial robots can help companies to achieve competitive advantages. Therefore, industrial robots need to be able to complete a wide variety of tasks at short notice in today's highly customized and dynamic production environment. However, this is contrary to the current situation. Configuring and programming robots is a challenging and time-consuming task. In this paper, we present our approach to integrating autonomous task planning into reconfigurable skill-based industrial robots. As a result, robots will coordinate},
 author = {Heuss, Lisa and Reinhart, Gunther},
 booktitle = {2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
 organization = {IEEE},
 pages = {1293--1296},
 pub_year = {2020},
 title = {Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots},
 venue = {2020 25th IEEE International Conference …},
 volume = {1}
}

@inproceedings{lankin2020ros,
 abstract = {Utilizing autonomous robots to perform repetitive and labor-intensive tasks in the construction industry is one of the most promising directions to explore in order to enhance productivity, safety/health, and quality of construction projects. Such robots must have construction-related knowledge and skills in order to generate task plans capable of dealing with the unique and highly dynamic work environment of typical construction sites. However, autonomous and flexible behavior is currently impossible due to the lack of a robotics},
 author = {Lankin, Ryan and Kim, Kyungki and Huang, Pei-Chi},
 booktitle = {2020 IEEE 18th International Conference on Industrial Informatics (INDIN)},
 organization = {IEEE},
 pages = {206--213},
 pub_year = {2020},
 title = {ROS-Based Robot Simulation for Repetitive Labor-Intensive Construction Tasks},
 venue = {2020 IEEE 18th International …},
 volume = {1}
}

@inproceedings{cai2020inferring,
 abstract = {In this paper we present a framework to learn skills from human demonstrations in the form of geometric nullspaces, which can be executed using a robot. We collect data of human demonstrations, fit geometric nullspaces to them, and also infer their corresponding geometric constraint models. These geometric constraints provide a powerful mathematical model as well as an intuitive representation of the skill in terms of the involved objects. To execute the skill using a robot, we combine this geometric skill description with the robot's},
 author = {Cai, Caixia and Liang, Ying Siu and Somani, Nikhil and Yan, Wu},
 booktitle = {2020 IEEE International Conference on Robotics and Automation (ICRA)},
 organization = {IEEE},
 pages = {7668--7675},
 pub_year = {2020},
 title = {Inferring the geometric nullspace of robot skills from human demonstrations},
 venue = {2020 IEEE International …}
}

@article{cho2020learning,
 abstract = {In this paper, we propose a framework for learning, improving, and generalizing the motor  skills for a peg-in-hole task. Here, we define a  learn, improve, and generalize motor skills  for the peg-in-hole task using a mixture of imitation learning and self-learning. In particular, the},
 author = {Cho, Nam Jun and Lee, Sang Hyoung and Kim, Jong Bok and Suh, Il Hong},
 journal = {Applied Sciences},
 number = {8},
 pages = {2719},
 pub_year = {2020},
 publisher = {Multidisciplinary Digital Publishing Institute},
 title = {Learning, improving, and generalizing motor skills for the peg-in-hole tasks based on imitation learning and self-learning},
 venue = {Applied Sciences},
 volume = {10}
}

@inproceedings{sorensen2020towards,
 abstract = {Simulation of robotic tasks allows for cheap evaluation and process optimization, which can then be transferred to the physical system. To avoid discrepancies between physical execution and simulation, real-world process data can be fed back to the simulation environment, a concept referred to as a" Digital Twin". This requires the development of a software architecture, that supports Digital Twins for robot tasks. In this work, we propose a system where an operator can take apart a complex assembly, thus creating digitized},
 author = {S{\o}rensen, Lars Car{\o}e and Mathiesen, Simon and Waspe, Ralf and Schlette, Christian},
 booktitle = {2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
 organization = {IEEE},
 pages = {1480--1484},
 pub_year = {2020},
 title = {Towards digital twins for industrial assembly-improving robot solutions by intuitive user guidance and robot programming},
 venue = {2020 25th IEEE …},
 volume = {1}
}

@article{volkmann2020cad,
 abstract = {One of the biggest obstacles on the path to digitalization in an industrial environment is the lack of communication standards. This is particularly evident where several domains meet. In this case, conventional machine tools, robotics and computer vision have to interact over a common interface. We propose a structure based on OPC UA, which unifies the procedure of programming for the human operator, regardless of whether the task is performed by a robot or a machine tool in the end. The idea is to use OPC UA skills for the manufacturing of},
 author = {Volkmann, Magnus and Legler, Tatjana and Wagner, Andreas and Ruskowski, Martin},
 journal = {Procedia Manufacturing},
 pages = {416--423},
 pub_year = {2020},
 publisher = {Elsevier},
 title = {A CAD feature-based manufacturing approach with OPC UA skills},
 venue = {Procedia Manufacturing},
 volume = {51}
}

@article{kra2020production,
 abstract = {The increasing demand of flexibility in cyber-physical production systems results from a growing number of product variants and customer specific products. Resources, like robots and humans, offer different skills modelled on the production planning level. Skill based task allocation requires normally that a task is executed by one resource providing all necessary skills for this task. This paper describes an approach in production planning how teams of several resources proposing diverse skills can be combined in order to accomplish a task in},
 author = {Kr{\"a}, Michaela and Vogt, Ludwig and H{\"a}rdtlein, Christian and Schiele, Stefan and Schilp, Johannes},
 journal = {Procedia CIRP},
 pages = {192--197},
 pub_year = {2020},
 publisher = {Elsevier},
 title = {Production planning for collaborating resources in cyber-physical production systems},
 venue = {Procedia CIRP},
 volume = {93}
}

@inproceedings{bolano2020virtual,
 abstract = {Robotic systems are complex and commonly require experts to program the motions and interactions between all the different components. Operators with programming skills are usually needed to make the robot perform a new task or even to apply small changes in its current behavior. For this reason many tools have been developed to ease the programming of robotic systems. Online programming methods rely on the use of the robot in order to move it to the desired configurations. On the other hand, simulation-based methods enable},
 author = {Bolano, Gabriele and Roennau, Arne and Dillmann, Ruediger and Groz, Albert},
 booktitle = {2020 17th International Conference on Ubiquitous Robots (UR)},
 organization = {IEEE},
 pages = {625--630},
 pub_year = {2020},
 title = {Virtual reality for offline programming of robotic applications with online teaching methods},
 venue = {2020 17th International …}
}

@article{ding2020task,
  title={A Task-Learning Strategy for Robotic Assembly Tasks from Human Demonstrations},
  author={Ding, Guanwen and Liu, Yubin and Zang, Xizhe and Zhang, Xuehe and Liu, Gangfeng and Zhao, Jie},
  journal={Sensors},
  volume={20},
  number={19},
  pages={5505},
  year={2020},
  publisher={Multidisciplinary Digital Publishing Institute}
}

@article{de2020autonomous,
 abstract = {This paper presents a robotic navigation system that uses mixed reality concepts to develop sensing and communication virtual devices, based on the visual localization of the robot in the environment. The main objective of the navigation system is to provide conditions for the use of very simple robots with severe limitations on the mentioned peripheral devices for simulation, analysis and test of multi-robot applications. In an experiment with real robots, each one receives its virtual navigation skills in an independent way from the tool that},
 author = {de Almeida, Jo{\~a}o Paulo Lima Silva and Nakashima, Renan Taizo and Neves-Jr, Fl{\'a}vio and de Oliveira, Andr{\'e} Schneider and de Arruda, L{\'u}cia Val{\'e}ria Ramos},
 journal = {Journal of Control, Automation and Electrical Systems},
 number = {5},
 pages = {1165--1176},
 pub_year = {2020},
 publisher = {Springer},
 title = {Autonomous navigation of multiple robots with sensing and communication constraints based on mixed reality},
 venue = {Journal of Control …},
 volume = {31}
}

@article{de2020global,
 abstract = {This paper proposes a path planner for multi-robot systems based on the solution of the multiple traveling salesman problem by genetic algorithm. The main planning goal is to build an efficient path to each robot of the system which jointly ensures that several a priori known points (ways-points) in the environment can be attained by at least one of the robots. During navigation, each robot try to follow its planned path while performing tasks and deviating from unknown static and dynamic obstacles. As the robots have limited sensing and},
 author = {de Almeida, Jo{\~a}o Paulo Lima Silva and Nakashima, Renan Taizo and Neves-Jr, Fl{\'a}vio and de Arruda, L{\'u}cia Val{\'e}ria Ramos},
 journal = {Journal of Intelligent \& Robotic Systems},
 number = {1},
 pages = {311--333},
 pub_year = {2020},
 publisher = {Springer},
 title = {A global/local path planner for multi-robot systems with uncertain robot localization},
 venue = {Journal of Intelligent & …},
 volume = {100}
}

@inproceedings{hu2020robot,
 abstract = {Programming by demonstration has been seen as a feasible solution for transferring human's skills to robots without too much time and labor cost. So far, applications of programming by demonstration in industrial assembly have attracted many researchers' attention. In practice, the robot control policy must give consideration to both efficiency and precision. Furthermore, it is difficult for one policy to handle the whole assembly process. To deal with these issues, a programming by demonstration with oral instructions method is},
 author = {Hu, Haopeng and Li, Ajian and Zhang, Nan and Lou, Yunjiang},
 booktitle = {2020 IEEE International Conference on Real-time Computing and Robotics (RCAR)},
 organization = {IEEE},
 pages = {521--526},
 pub_year = {2020},
 title = {Robot Programming by Demonstration with Oral Instructions for Assembly},
 venue = {2020 IEEE International …}
}

@article{chang2020model,
  title={Model-based manipulation of linear flexible objects: Task automation in simulation and real world},
  author={Chang, Peng and Pad{\i}r, Ta{\c{s}}k{\i}n},
  journal={Machines},
  volume={8},
  number={3},
  pages={46},
  year={2020},
  publisher={Multidisciplinary Digital Publishing Institute}
}

@inproceedings{chang2020modelvisual,
 abstract = {Manipulation of deformable objects is a desired skill in making robots ubiquitous in manufacturing, service, healthcare, and security. Deformable objects are common in our daily lives, eg, wires, clothes, bed sheets, etc., and are significantly more difficult to model than rigid objects. In this study, we investigate vision-based manipulation of linear flexible objects such as cables. We propose a geometric modeling method that is based on visual feedback to develop a general representation of the linear flexible object that is subject to},
 author = {Chang, Peng and Pad{\i}r, Ta{\c{s}}k{\i}n},
 booktitle = {2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)},
 organization = {IEEE},
 pages = {1406--1412},
 pub_year = {2020},
 title = {Model-based manipulation of linear flexible objects with visual curvature feedback},
 venue = {2020 IEEE/ASME International Conference …}
}

@inproceedings{tunstel2020robotic,
 abstract = {An integrated robotic system is presented that demonstrates feasibility of automating dexterous manipulation of small and flexible components enabling wire pinning associated with industrial wire harness assembly. The task is shared by a human technician and a collaborative robot endowed with advanced intelligence via learned motion primitives and vision-guided control. The developed system and software architecture are described along with features of its primary software modules that provide the enabling robotic intelligence},
 author = {Tunstel, Edward and Dani, Ashwin and Martinez, Carlos and Blakeslee, Brigid and Mendoza, Jeffrey and Saltus, Ryan and Trombetta, Daniel and Rotithor, Ghananeel and Fuhlbrigge, Tom and Lasko, Daniel and others},
 booktitle = {2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)},
 organization = {IEEE},
 pages = {1208--1215},
 pub_year = {2020},
 title = {Robotic Wire Pinning for Wire Harness Assembly Automation},
 venue = {2020 IEEE/ASME …}
}

@article{weng2020applications,
 abstract = {Dexterous manipulation of dual-arm robots in unstructured environments is very useful. Programming a dual-arm industrial robot to efficiently complete dexterous tasks, however, is especially challenging due to the complexity of its inverse kinematics, motion planning, dual-arm coordination with self-collision avoidance, and so on. This paper presents a systematic solution to accurately manipulate a dual-arm industrial robot on-site via light-weight wearable devices. In the developed system, the human operator directly drives the robot},
 author = {Weng, Ching-Yen and Yuan, Qilong and Lim, Zhong Jin and Chen, I-Ming},
 journal = {Unmanned Systems},
 number = {03},
 pages = {211--219},
 pub_year = {2020},
 publisher = {World Scientific},
 title = {Applications of Light-Weight Wearable Devices to Online Programming of Industrial Dual-Arm Robots},
 venue = {Unmanned Systems},
 volume = {8}
}

@inproceedings{talli2020design,
  title={Design, simulation, and analysis of a 6-axis robot using robot visualization software},
  author={Talli, Amit and Meti, Vinod Kumar V},
  booktitle={IOP Conference Series: Materials Science and Engineering},
  volume={872},
  number={1},
  pages={012040},
  year={2020},
  organization={IOP Publishing}
}

@inproceedings{evangelista2020spirit,
 abstract = {SPIRIT aims to develop an “inspection skill” for robots that takes the step from programming of complex inspection tasks to configuring such tasks. Result of the project is a software framework that includes an “offline framework” with features such as model-based automatic coverage planning for complex parts, automatic robot program generation and an “inline framework” that deals with sensor data mapping to transfer sensor measurements to the 3D object model. At the heart of the project is an accurate process-specific model that},
 author = {Evangelista, Daniele and Antonelli, Marco and Pretto, Alberto and Eitzinger, Christian and Moro, Michele and Ferrari, Carlo and Menegatti, Emanuele},
 booktitle = {2020 IEEE International Workshop on Metrology for Industry 4.0 \& IoT},
 organization = {IEEE},
 pages = {622--626},
 pub_year = {2020},
 title = {Spirit-a software framework for the efficient setup of industrial inspection robots},
 venue = {… on Metrology for …}
}

@article{phan2020estimating,
 abstract = {In this work, we propose a practical approach to estimate human joint stiffness during tooling  tasks for the purpose of programming a robot  the stiffness along the wrist radial-ulnar  deviation while a human operator performs flexion-extension movements during a polishing task.},
 author = {Phan, Gia-Hoang and Hansen, Clint and Tommasino, Paolo and Budhota, Aamani and Mohan, Dhanya Menoth and Hussain, Asif and Burdet, Etienne and Campolo, Domenico},
 journal = {Sensors},
 number = {11},
 pages = {3260},
 pub_year = {2020},
 publisher = {Multidisciplinary Digital Publishing Institute},
 title = {Estimating human wrist stiffness during a tooling task},
 venue = {Sensors},
 volume = {20}
}

@article{zhao2020model,
 abstract = {Peg-in-hole assembly with narrow clearance is a typical robotic contact-rich task in industrial manufacturing. Robot learning allows robots to directly acquire the assembly skills for this task without modeling and recognizing the complex contact states. However, learning such skills is still challenging for robot because of the difficulties in collecting massive transitions data and transferring skills to new tasks, which inevitably leads to low training efficiency. This paper formulated the assembly task as a Markov decision process, and proposed a},
 author = {Zhao, Xin and Zhao, Huan and Chen, Pengfei and Ding, Han},
 journal = {International Journal of Intelligent Robotics and Applications},
 number = {2},
 pages = {202--216},
 pub_year = {2020},
 publisher = {Springer},
 title = {Model accelerated reinforcement learning for high precision robotic assembly},
 venue = {International Journal of Intelligent …},
 volume = {4}
}

@article{leporini2020technical,
 abstract = {Nowadays Robotic assisted Minimally Invasive Surgeries (R-MIS) are the elective procedures for treating highly accurate and scarcely invasive pathologies, thanks to their ability to empower surgeons' dexterity and skills. The research on new Multi-Robots Surgery (MRS) platform is cardinal to the development of a new SARAS surgical robotic platform, which aims at carrying out autonomously the assistants tasks during R-MIS procedures. In this work, we will present the SARAS MRS platform validation protocol, framed in order to},
 author = {Leporini, Alice and Oleari, Elettra and Landolfo, Carmela and Sanna, Alberto and Larcher, Alessandro and Gandaglia, Giorgio and Fossati, Nicola and Muttin, Fabio and Capitanio, Umberto and Montorsi, Francesco and others},
 journal = {IEEE Transactions on Medical Robotics and Bionics},
 number = {2},
 pages = {148--156},
 pub_year = {2020},
 publisher = {IEEE},
 title = {Technical and functional validation of a teleoperated multirobots platform for minimally invasive surgery},
 venue = {… on Medical Robotics …},
 volume = {2}
}

@inproceedings{sirintuna2020variable,
 abstract = {In today's automation driven manufacturing environments, emerging technologies like cobots (collaborative robots) and augmented reality interfaces can help integrating humans into the production workflow to benefit from their adaptability and cognitive skills. In such settings, humans are expected to work with robots side by side and physically interact with them. However, the trade-off between stability and transparency is a core challenge in the presence of physical human robot interaction (pHRI). While stability is of utmost importance},
 author = {Sirintuna, Doganay and Aydin, Yusuf and Caldiran, Ozan and Tokatli, Ozan and Patoglu, Volkan and Basdogan, Cagatay},
 booktitle = {2020 IEEE International Conference on Robotics and Automation (ICRA)},
 organization = {IEEE},
 pages = {10162--10168},
 pub_year = {2020},
 title = {A variable-fractional order admittance controller for pHRI},
 venue = {… on Robotics and …}
}

@article{gervasi2020conceptual,
 abstract = {Human-Robot Collaboration (HRC) is a form of direct interaction between humans and robots. The objective of this type of interaction is to perform a task by combining the skills of both humans and robots. HRC is characterized by several aspects, related both to robots and humans. Many works have focused on the study of specific aspects related to HRC, eg, safety, task organization. However, a major issue is to find a general framework to evaluate the collaboration between humans and robots considering all the aspects of the},
 author = {Gervasi, Riccardo and Mastrogiacomo, Luca and Franceschini, Fiorenzo},
 journal = {The International Journal of Advanced Manufacturing Technology},
 number = {3},
 pages = {841--865},
 pub_year = {2020},
 publisher = {Springer},
 title = {A conceptual framework to evaluate human-robot collaboration},
 venue = {The International Journal of …},
 volume = {108}
}

@article{montalvo2020sistema,
 abstract = {Tele-operation system for Mobile Robots using in Oil & Gas industry  of a tele-operation  system which uses the MQTT protocol for the integration of industrial process  out inspection  and remote maintenance tasks in Petroamazonas EP’s oil production centers. Ecuador.},
 author = {Montalvo, William and Garcia, Carlos A and Naranjo, Jose E and Ortiz, Alexandra and Garcia, Marcelo V},
 journal = {Revista Ib{\'e}rica de Sistemas e Tecnologias de Informa{\c{c}}{\~a}o},
 number = {E29},
 pages = {351--365},
 pub_year = {2020},
 publisher = {Associa{\c{c}}{\~a}o Ib{\'e}rica de Sistemas e Tecnologias de Informacao},
 title = {Sistema de Tele-operaci{\'o}n para Robots M{\'o}viles en la industria del Petr{\'o}leo y Gas},
 venue = {Revista Ibérica de …}
}

@article{weng2020telemanipulation,
 abstract = {Traditional offline programming or teach pendant-based methods limit the collaboration capabilities of users and robots to cope with complex and changing industrial tasks. To address efficient robot manipulation in high-mix and low-volume tasks, especially for skillful tasks involving both trajectory and force control requirements, fast robot teaching and skill transferability are critical. Compared to manually dragging a heavy robot, or programming a trajectory by complex calculations, we believe that robots can efficiently learn skills from},
 author = {Weng, Ching-Yen and Yuan, Qilong and Suarez-Ruiz, Francisco and Chen, I-Ming},
 journal = {IEEE Transactions on Industrial Informatics},
 number = {5},
 pages = {3076--3084},
 pub_year = {2020},
 publisher = {IEEE},
 title = {A telemanipulation-based human--robot collaboration method to teach aerospace masking skills},
 venue = {IEEE Transactions on …},
 volume = {16}
}

@article{ong2020augmented,
 abstract = {Robots are important in high-mix low-volume manufacturing because of their versatility and repeatability in performing manufacturing tasks. However, robots have not been widely used due to cumbersome programming effort and lack of operator skill. One significant factor prohibiting the widespread application of robots by small and medium enterprises (SMEs) is the high cost and necessary skill of programming and re-programming robots to perform diverse tasks. This paper discusses an Augmented Reality (AR) assisted robot programming},
 author = {Ong, Soh K and Yew, AWW and Thanigaivel, NK and Nee, Andrew YC},
 journal = {Robotics and Computer-Integrated Manufacturing},
 pages = {101820},
 pub_year = {2020},
 publisher = {Elsevier},
 title = {Augmented reality-assisted robot programming system for industrial applications},
 venue = {Robotics and Computer …},
 volume = {61}
}

@article{bhalaji2021analyze,
 abstract = {Robots play a key role in medical equipment manufacturing industry by safeguarding human workers from hazardous environment and risky jobs. Human robot interaction (HRI) is one of the robotic features that are enhanced in industrial robots. They mimic human behavior while arriving at a decision, contributing to the proficiency of the product. Tasks involving human cognitive skills and flexibility in the workers are combined with robots to obtain high-level accuracy, repeatability, and speed. Further, more challenges are to be met for},
 author = {Bhalaji, RKA and Bathrinath, S and Ponnambalam, SG and Saravanasankar, S},
 journal = {Materials Today: Proceedings},
 pages = {100--104},
 pub_year = {2021},
 publisher = {Elsevier},
 title = {Analyze the factors influencing human-robot interaction using MCDM method},
 venue = {Materials Today …},
 volume = {39}
}

@inproceedings{dai2020use,
 abstract = {This paper describes our proposal of using CAD data to support the definition of robot actions in an intuitive way. Task-level programming should enable non-robotics experts to develop robot applications. However, defining the right task-level parameters requires still certain robotics knowledge and manual efforts. To reduce the amount of manual efforts, such parameters could be semi-automatically generated from robot application simulation environment, and CAD data could be analysed to derive the accurate assembly information},
 author = {Dai, Fan and Li, Nuo and Clever, Debora},
 booktitle = {ISR 2020; 52th International Symposium on Robotics},
 organization = {VDE},
 pages = {1--6},
 pub_year = {2020},
 title = {Use CAD Data for Intuitive Definition of Robot Actions in a Skill-based Robot Application Development Environment},
 venue = {ISR 2020; 52th International Symposium …}
}

@incollection{colim2020human,
 abstract = {Collaborative robotic solutions, where human workers and robots share their skills, are emerging in the industrial context. In order to achieve an appropriate level of Human-Robot Collaboration (HRC), the workstations' design has to be human-centered and adaptive to the workers' characteristics/limitations, considering ergonomic criteria. This study corresponds to the first phase of a research project to apply HRC to minimize the musculoskeletal risk associated with a manual assembly task (industrial furniture},
 author = {Colim, Ana and Carneiro, Paula and Costa, N{\'e}lson and Faria, Carlos and Rocha, Lu{\'\i}s and Sousa, Nuno and Silva, M{\'a}rcio and Braga, Ana Cristina and Bicho, Estela and Monteiro, S{\'e}rgio and others},
 booktitle = {Occupational and Environmental Safety and Health II},
 pages = {379--387},
 pub_year = {2020},
 publisher = {Springer},
 title = {Human-centered approach for the design of a collaborative robotics workstation},
 venue = {… Safety and Health II}
}

@article{akkaladevi2021semantic,
 abstract = {Human robot collaborative assemblies, where humans and robots work together, are becoming the new frontier in industrial robotics. However, the aspect of humans to easily and intuitively interact/collaborate with a robot, especially for teaching new tasks, is still open. In this work, we present a semantic knowledge-based-reasoning framework that first learns to recognize human activities using perception data (action recognition and object tracking) and semantically links them to an assembly process. Thus deriving the intention of},
 author = {Akkaladevi, Sharath Chandra and Plasch, Matthias and Hofmann, Michael and Pichler, Andreas},
 journal = {Procedia CIRP},
 pages = {373--378},
 pub_year = {2021},
 publisher = {Elsevier},
 title = {Semantic knowledge based reasoning framework for human robot collaboration},
 venue = {Procedia CIRP},
 volume = {97}
}

@article{davella2020supervised,
 abstract = {Nowadays, the number of jobs accessible to impaired people in industries is limited. However, minimum changes in the plant could allow the employment of such individuals. Technology is the way to assist such workers to perform at the best they could and to avoid disabilities to limit their potentialities. This work proposes a supervised stowing system that will allow impaired operators to perform the task of order-picking in cluttered environments, despite their disabilities. Pick and place is the most repetitive and common task in industrial},
 author = {D’Avella, Salvatore and Tripicchio, Paolo},
 journal = {Procedia Manufacturing},
 pages = {171--178},
 pub_year = {2020},
 publisher = {Elsevier},
 title = {Supervised stowing as enabling technology for the integration of impaired operators in the industry},
 venue = {Procedia Manufacturing},
 volume = {51}
}

@article{akkaladevi2020programming,
 abstract = {To maintain productivity and deal with mass customization, manufacturing industries worldwide are increasingly installing collaborative robots. However, the problem of easily interacting and teaching tasks to a collaborative robot is still unsolved. We present a programming-framework that exploits and integrates different programming paradigms such as Learning-by-demonstration (LbD), Learning-by-interaction (LbI) and Learning-by-programming (LbP) using a semantically-enhanced-reasoning-system. The framework},
 author = {Akkaladevi, Sharath Chandra and Plasch, Matthias and Chitturi, Naresh Chowdhary and Hofmann, Michael and Pichler, Andreas},
 journal = {Procedia Manufacturing},
 pages = {148--155},
 pub_year = {2020},
 publisher = {Elsevier},
 title = {Programming by Interactive Demonstration for a Human Robot Collaborative Assembly},
 venue = {Procedia …},
 volume = {51}
}

@article{chigbu2020collaborative,
 abstract = {Through the lens of the evolutionary economic theory, this study aimed to investigate what drives the implementation of technologies in the South African automobile industry and to understand the experiences employees have had with the introduction of technologies to the sector with regard to work collaboration, safety, and job satisfaction. Using a qualitative methodology, data were collected through a semi-structured in-depth interview, which induced its information from three automotive companies with a total of 30 participants that},
 author = {Chigbu, Bianca Ifeoma and Nekhwevha, Fhulu Hastings},
 journal = {African Journal of Science, Technology, Innovation and Development},
 pages = {1--8},
 pub_year = {2020},
 publisher = {Taylor \& Francis},
 title = {The collaborative work experience of robotics and human workers in the automobile industry in South Africa},
 venue = {African Journal of Science …}
}

@inproceedings{gervasi2020comparing,
 abstract = {},
 author = {Gervasi, R and Digiaro, F and Mastrogiacomo, L and Maisano, D and Franceschini, F},
 booktitle = {Proceedings book of the 4th international conference on quality engineering and management. University of Minho, Portugal},
 pages = {89--114},
 pub_year = {2020},
 title = {Comparing quality profiles in human-robot collaboration: empirical evidence in the automotive sector},
 venue = {NA}
}

@inproceedings{huang2020contextual,
 abstract = {Collaborative robots are envisioned to assist people in an increasing range of domains, from manufacturing to home care; however, due to the variable nature of these fields, such robots will inevitably face unfamiliar situations and unforeseen task requirements, and must be able to interact with users who possess diverse skill sets, backgrounds, and needs. Presently, robust, autonomous solutions for appropriately handling these vast possibilities and uncertainties are unattainable. End-user robot programming offers an alternative approach},
 author = {Huang, Chien-Ming},
 booktitle = {International Conference on Human-Computer Interaction},
 organization = {Springer},
 pages = {321--338},
 pub_year = {2020},
 title = {Contextual Programming of Collaborative Robots},
 venue = {International Conference on Human-Computer …}
}

@inproceedings{huang2019application,
 abstract = {In order to respond to the trend of the times and follow the pace of advanced science and technology, the application of robots is no longer the exclusive of one person. Industrial robots are widely used in the field of manufacturing industry. At the same time, colleges and universities are also carrying out related teaching of industrial robots. According to the training plan of Applied Undergraduate talents, a series of explorations have been carried out in teaching content, teaching methods and practical links based on this course. It not},
 author = {Huang, Yongcheng and Wu, Xianming and Yang, Bin and Li, Zhiyong},
 booktitle = {International Conference on Applications and Techniques in Cyber Security and Intelligence},
 organization = {Springer},
 pages = {14--20},
 pub_year = {2019},
 title = {The Application of Industrial Robot Technology in the Teaching of Applied Undergraduate Colleges and Universities},
 venue = {… on Applications and Techniques in Cyber …}
}

@inproceedings{lopez2016skill,
 abstract = {Industrial robots are reliable machines for manufacturing tasks such as assembly, welding, painting and palletizing operations. They have been traditionally programmed by an operator using a teach pendant in a point-to-point scheme with limited sensing capabilities such as industrial vision systems and force/torque sensing. Today, industrial robots can react to environment changes specific to their task domain but are still unable to learn skills to effectively use their current knowledge. The need for such a skill in unstructured},
 author = {Lopez-Juarez, Ismael},
 booktitle = {2016 IEEE International Conference on Automatica (ICA-ACCA)},
 organization = {IEEE},
 pages = {1--5},
 pub_year = {2016},
 title = {Skill acquisition for industrial robots: From stand-alone to distributed learning},
 venue = {2016 IEEE International Conference on …}
}

@inproceedings{huang2016vision,
 abstract = {This paper presents an intelligent sewing system for personalized stent graft manufacturing, a challenging sewing task that is currently performed manually. Inspired by medical suturing robots, we have adopted a single-sided sewing technique using a curved needle to perform the task of sewing stents onto fabric. A motorized surgical needle driver was attached to a 7 dof robot arm to manipulate the needle with a second robot controlling the position of the mandrel. A learning-from-demonstration approach was used to program the robot to sew},
 author = {Huang, Bidan and Vandini, Alessandro and Hu, Yang and Lee, Su-Lin and Yang, Guang-Zhong},
 booktitle = {2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 organization = {IEEE},
 pages = {751--758},
 pub_year = {2016},
 title = {A vision-guided dual arm sewing system for stent graft manufacturing},
 venue = {2016 IEEE/RSJ …}
}

@inproceedings{wantia2016task,
  title={Task planning for human robot interactive processes},
  author={Wantia, Nils and Esen, Menno and Hengstebeck, Andr{\'e} and Heinze, Frank and Rossmann, Juergen and Deuse, Jochen and Kuhlenkoetter, Bernd},
  booktitle={2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)},
  pages={1--8},
  year={2016},
  organization={IEEE}
}

@inproceedings{zhang2016industrial,
  title={Industrial robot programming by demonstration},
  author={Zhang, Jiafan and Wang, Yue and Xiong, Rong},
  booktitle={2016 International Conference on Advanced Robotics and Mechatronics (ICARM)},
  pages={300--305},
  year={2016},
  organization={IEEE}
}

@article{krueger2016vertical,
 abstract = {Cognitive robots, able to adapt their actions based on sensory information and the management of uncertainty, have begun to find their way into manufacturing settings. However, the full potential of these robots has not been fully exploited, largely due to the lack of vertical integration with existing IT infrastructures, such as the manufacturing execution system (MES), as part of a large-scale cyber-physical entity. This paper reports on considerations and findings from the research project STAMINA that is developing such a},
 author = {Krueger, Volker and Chazoule, Arnaud and Crosby, Matthew and Lasnier, Antoine and Pedersen, Mikkel Rath and Rovida, Francesco and Nalpantidis, Lazaros and Petrick, Ronald and Toscano, Cesar and Veiga, Germano},
 journal = {Proceedings of the IEEE},
 number = {5},
 pages = {1114--1127},
 pub_year = {2016},
 publisher = {IEEE},
 title = {A vertical and cyber--physical integration of cognitive robots in manufacturing},
 venue = {Proceedings of the …},
 volume = {104}
}

@article{pedersen2016robot,
  title={Robot skills for manufacturing: From concept to industrial deployment},
  author={Pedersen, Mikkel Rath and Nalpantidis, Lazaros and Andersen, Rasmus Skovgaard and Schou, Casper and B{\o}gh, Simon and Kr{\"u}ger, Volker and Madsen, Ole},
  journal={Robotics and Computer-Integrated Manufacturing},
  volume={37},
  pages={282--291},
  year={2016},
  publisher={Elsevier}
}

@inproceedings{dai2016robot,
 abstract = {Up to now, industrial robots are mostly programmed with procedural programming languages that support the specification of robot motion sequences. Still, creating a robot application requires relatively deep robot programming knowledge, and is time consuming. For decades, the robotics community has been working on approaches for supporting robot programming on a task-oriented level ie defining the robot tasks rather than motion. One of them is introducing robot skills, which are robot functions representing robot capabilities to},
 author = {Dai, Fan and Wahrburg, Arne and Matthias, Bjoern and Ding, Hao},
 booktitle = {Proceedings of ISR 2016: 47st International Symposium on Robotics},
 organization = {VDE},
 pages = {1--6},
 pub_year = {2016},
 title = {Robot assembly skills based on compliant motion},
 venue = {Proceedings of ISR 2016 …}
}

@inproceedings{jacobsson2016modularization,
 abstract = {With industrial robots ready to take the next step in mastering manufacturing tasks new approaches to reduce the programming effort are needed. This is achieved by introducing skills as robot" know-how" and using them as a higher abstraction level of robot instructions during programming. The skills are reusable items providing motion control and rich declarative descriptions of complex robot capabilities. Storing the skills requires an adequate knowledge representation model that enables reuse and reasoning on skills and},
 author = {Jacobsson, Ludwig and Malec, Jacek and Nilsson, Klas},
 booktitle = {Proceedings of ISR 2016: 47st international symposium on robotics},
 organization = {VDE},
 pages = {1--6},
 pub_year = {2016},
 title = {Modularization of skill ontologies for industrial robots},
 venue = {Proceedings of ISR 2016 …}
}

@inproceedings{andersen2016using,
 abstract = {Traditional industrial robots are highly efficient and precise and therefore well suited for carrying out simple, repetitive tasks. They are, however, complicated and time consuming to setup and re-program to perform new tasks. Skill-based programming attempts to reduce both the required time as well as the need for highly specialized staff for setting up modern collaborative robots. This paper proposes a skill for recognition and classification of different objects. The skill is parameterized using manual kinesthetic teaching, and machine learning},
 author = {Andersen, Rasmus S and Schou, Casper and Damgaard, Jens S and Madsen, Ole},
 booktitle = {Proceedings of ISR 2016: 47st International Symposium on Robotics},
 organization = {VDE},
 pages = {1--8},
 pub_year = {2016},
 title = {Using a flexible skill-based approach to recognize objects in industrial scenarios},
 venue = {Proceedings of ISR …}
}

@inproceedings{orendt2016robot,
 abstract = {General purpose robots are established tools in a variety of industrial applications. Current household robots, however, are limited in capabilities and purpose. One reason for this is the programming effort required to utilize a general purpose robot. A popular strategy to reduce programming effort is Programming by Demonstration (PbD). Usually PbD requires several tedious demonstrations to teach a robot some behavior or skill. Notably, there are just few approaches where a single demonstration suffices. Such One-Shot approaches},
 author = {Orendt, Eric M and Fichtner, Myriel and Henrich, Dominik},
 booktitle = {2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)},
 organization = {IEEE},
 pages = {192--199},
 pub_year = {2016},
 title = {Robot programming by non-experts: Intuitiveness and robustness of one-shot robot programming},
 venue = {2016 25th IEEE …}
}

@inproceedings{jientrakul2016minimizing,
 abstract = {In teleoperation systems which generally require human-robot collaboration to operate the tasks, task performances suffer from uncontrollable factors, ie, human skills, time delay, and robot movement errors. To incorporate with this situation, the system must be designed to withstand those factors' effects. Recently, system robustness has become an essential issue for designing manufacturing systems. In this paper, we present a robust design to control the variation for multi-stage tele-sandblasting system. The objective is to locate the sandblasting},
 author = {Jientrakul, Ranon and Yuangyai, Chumpol},
 booktitle = {2016 IEEE International Conference on Management of Innovation and Technology (ICMIT)},
 organization = {IEEE},
 pages = {133--138},
 pub_year = {2016},
 title = {Minimizing multi-stage system variation using Kalman filter for a tele-sandblasting system},
 venue = {2016 IEEE International Conference …}
}

@inproceedings{tang2016teach,
 abstract = {Programming robotic assembly tasks usually requires delicate force tuning. In contrast, human may accomplish assembly tasks with much less time and fewer trials. It will be a great benefit if robots can learn the human inherent skill of force control and apply it autonomously. Recent works on Learning from Demonstration (LfD) have shown the possibility to teach robots by human demonstration. The basic idea is to collect the force and corrective velocity that human applies during assembly, and then use them to regress a},
 author = {Tang, Te and Lin, Hsien-Chung and Zhao, Yu and Fan, Yongxiang and Chen, Wenjie and Tomizuka, Masayoshi},
 booktitle = {2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)},
 organization = {IEEE},
 pages = {488--494},
 pub_year = {2016},
 title = {Teach industrial robots peg-hole-insertion by human demonstration},
 venue = {2016 IEEE …}
}

@article{rozo2016learning,
 abstract = {Robots are becoming safe and smart enough to work alongside people not only on manufacturing production lines, but also in spaces such as houses, museums, or hospitals. This can be significantly exploited in situations in which a human needs the help of another person to perform a task, because a robot may take the role of the helper. In this sense, a human and the robotic assistant may cooperatively carry out a variety of tasks, therefore requiring the robot to communicate with the person, understand his/her needs, and behave},
 author = {Rozo, Leonel and Calinon, Sylvain and Caldwell, Darwin G and Jimenez, Pablo and Torras, Carme},
 journal = {IEEE Transactions on Robotics},
 number = {3},
 pages = {513--527},
 pub_year = {2016},
 publisher = {IEEE},
 title = {Learning physical collaborative robot behaviors from human demonstrations},
 venue = {IEEE Transactions …},
 volume = {32}
}

@article{hanai2016modeling,
 abstract = {The importance of system integration is widely recognized in robotics. This motivates the application of Model-Based Systems Engineering (MBSE) approaches to improve the development process of robot systems. This paper models a development process to achieve given task goals using a human-like upper body robot based on MBSE approach. For this purpose, we focus on the domain knowledge of tasks and skills in robotics. Since MBSE is a general methodology, there is a lot of flexibility on the way of proceeding with the},
 author = {Hanai, Ryo and Suzuki, Hisashi and Nakabo, Yoshihiro and Harada, Kensuke},
 journal = {Advanced Robotics},
 number = {10},
 pages = {676--690},
 pub_year = {2016},
 publisher = {Taylor \& Francis},
 title = {Modeling development process of skill-based system for human-like manipulation robot},
 venue = {Advanced Robotics},
 volume = {30}
}

@inproceedings{fischer2016comparison,
 abstract = {Programming by Demonstration (PbD) is an efficient way for non-experts to teach new skills to a robot. PbD can be carried out in different ways, for instance, by kinesthetic guidance, teleoperation or by using external controls. In this paper, we compare these three ways of controlling a robot in terms of efficiency, effectiveness (success and error rate) and usability. In an industrial assembly scenario, 51 participants carried out peg-in-hole tasks using one of the three control modalities. The results show that kinesthetic guidance produces the best},
 author = {Fischer, Kerstin and Kirstein, Franziska and Jensen, Lars Christian and Kr{\"u}ger, Norbert and Kukli{\'n}ski, Kamil and aus der Wieschen, Maria Vanessa and Savarimuthu, Thiusius Rajeeth},
 booktitle = {2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
 organization = {IEEE},
 pages = {213--220},
 pub_year = {2016},
 title = {A comparison of types of robot control for programming by demonstration},
 venue = {2016 11th ACM/IEEE …}
}

@incollection{rovida2017cyber,
 abstract = {Cognitive robots have started to find their way into manufacturing halls. However, the full potential of these robots can only be exploited through an integration into the automation pyramid so that the system is able to communicate with the manufacturing execution system (MES). Integrating the robot with the MES allows the robot to get access to manufacturing environment and process data so that it can perform its task without human intervention. This paper describe the mobile robotic manipulator developed in the EU project STAMINA, its},
 author = {Rovida, Francesco and Krueger, Volker and Nalpantidis, Lazaros and Charzoule, Arnaud and Lasnier, Antoine and Petrick, Ron and Crosby, Matthew and Toscano, Cesar and Veiga, Germano},
 booktitle = {Advances in Cooperative Robotics},
 pages = {169--177},
 pub_year = {2017},
 publisher = {World Scientific},
 title = {A cyber-physical systems approach for controlling autonomous mobile manipulators},
 venue = {Advances in …}
}

@incollection{bolmsjo2016safety,
 abstract = {The ongoing trend towards manufacturing of customized products generates an increased demand on highly efficient work methods to manage product variants through flexible automation. Adopting robots for automation is not always feasible in low batch production. However, the combination of humans together with robots performing tasks in collaboration provides a complementary mix of skill and creativity of humans, and precision and strength of robots which support flexible production in small series down to one-off production},
 author = {Bolmsj{\"o}, Gunnar and Bennulf, Mattias and Zhang, Xiaoxiao},
 booktitle = {Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future},
 pages = {253--265},
 pub_year = {2016},
 publisher = {Springer},
 title = {Safety system for industrial robots to support collaboration},
 venue = {… : Managing the Enterprise of the Future}
}

@incollection{ceriani2016collision,
 abstract = {Human-robot interaction (HRI) is a key element for diffusion of robotised production. Clear advantages in flexibility and productivity are possible, when the two operators are free to interact, as they are endowed with complementary skills. To achieve such a goal, safety systems capable of coping with task and robot constraints have to be designed. In this paper, a collision avoidance strategy, tackling consistency with task constraints and robot kinematic limitations, is proposed. Robot joint velocities are selected with a QP optimisation},
 author = {Ceriani, Nicola Maria and Zanchettin, Andrea Maria and Rocco, Paolo},
 booktitle = {Intelligent Autonomous Systems 13},
 pages = {1285--1299},
 pub_year = {2016},
 publisher = {Springer},
 title = {Collision avoidance with task constraints and kinematic limitations for dual arm robots},
 venue = {Intelligent Autonomous Systems 13}
}

@inproceedings{pedersen2014intuitive,
 abstract = {In order for manufacturing companies to remain competitive while also offering a high degree of customization for the customers, flexible robots that can be rapidly reprogrammed to new tasks need to be applied in the factories. In this paper we propose a method for the intuitive programming of an industrial mobile robot by combining robot skills, a graphical user interface and human gesture recognition. We give a brief introduction to robot skills as we envision them for intuitive programming, and how they are used in the robot system. We},
 author = {Pedersen, Mikkel Rath and Herzog, Dennis Levin and Kr{\"u}ger, Volker},
 booktitle = {2014 IEEE/RSJ International Conference on Intelligent Robots and Systems},
 organization = {IEEE},
 pages = {4523--4530},
 pub_year = {2014},
 title = {Intuitive skill-level programming of industrial handling tasks on a mobile manipulator},
 venue = {2014 IEEE/RSJ …}
}

@article{stenmark2014describing,
 abstract = {Task-level industrial robot programming is a mundane, error-prone activity requiring expertise and skill. Since humans easily communicate with natural language (NL), it may be attractive to use speech or text as instruction means for robots. However, there has to be a substantial amount of knowledge in the system to translate the high-level language instructions to executable robot programs. In this paper, the method of Stenmark and Nugues (2013) for natural language programming of robotized assembly tasks is extended},
 author = {Stenmark, Maj and Malec, Jacek},
 journal = {IFAC Proceedings Volumes},
 number = {3},
 pages = {3056--3061},
 pub_year = {2014},
 publisher = {Elsevier},
 title = {Describing constraint-based assembly tasks in unstructured natural language},
 venue = {IFAC Proceedings Volumes},
 volume = {47}
}

@inproceedings{andersen2014definition,
  title={Definition and initial case-based evaluation of hardware-independent robot skills for industrial robotic co-workers},
  author={Andersen, Rasmus Hasle and Solund, Thomas and Hallam, John},
  booktitle={ISR/Robotik 2014; 41st International Symposium on Robotics},
  pages={1--7},
  year={2014},
  organization={VDE}
}

@inproceedings{andersen2014using,
 abstract = {Traditional robots used in manufacturing are very efficient for solving specific tasks that are repeated many times. The robots are, however, difficult to (re-) configure and (re-) program. This can often only be done by expert robotic programmers, computer vision experts, etc., and it requires additionally lots of time. In this paper we present and use a skill based framework for robotic programming. In this framework, we develop a flexible pick skill, that can easily be reprogrammed to solve new specific tasks, even by non-experts. Using the},
 author = {Andersen, Rasmus S and Nalpantidis, Lazaros and Kr{\"u}ger, Volker and Madsen, Ole and Moeslund, Thomas B},
 booktitle = {2014 International Conference on Computer Vision Theory and Applications (VISAPP)},
 organization = {IEEE},
 pages = {678--685},
 pub_year = {2014},
 title = {Using robot skills for flexible reprogramming of pick operations in industrial scenarios},
 venue = {… on Computer Vision …},
 volume = {3}
}

@inproceedings{cheng2014learning,
 abstract = {The small parts assembly process is a complex but necessary task in the modern manufacturing industry. It is not easy to use industrial robots to afford this task because different control modes and coordination algorithms have to be designed and updated periodically to adapt the rapidly changing products. It is desired to improve the conventional robot programming technology. The concept of Learning from Demonstration (LfD) is adopted and a LfD framework for small parts assembly problem is proposed in this paper},
 author = {Cheng, Hongtai and Chen, Heping},
 booktitle = {2014 9th IEEE Conference on Industrial Electronics and Applications},
 organization = {IEEE},
 pages = {395--400},
 pub_year = {2014},
 title = {Learning from demonstration enabled robotic small part assembly},
 venue = {2014 9th IEEE Conference on Industrial …}
}

@inproceedings{abhaya2014intelligent,
  title={Intelligent modeling and decision making for the control of industrial robot system based on neuro fuzzy approach},
  author={Abhaya, M and Anand, M Dev and Sharolyn, V and others},
  booktitle={2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)},
  pages={1453--1458},
  year={2014},
  organization={IEEE}
}

@inproceedings{verner2014focusing,
 abstract = {This paper proposes an approach to outreach activities for school students in an industrial robotics laboratory. Students' practice in programming and operating robot manipulators is focused on training spatial skills. We present two case studies in which a robotics workshop and course were given to different categories of students. Both case studies indicated students' highly positive evaluation of the laboratory experience and their advance in performing spatial perception, mental rotation and visualization tasks.},
 author = {Verner, Igor M and Gamer, Sergei},
 booktitle = {The 23rd IEEE International Symposium on Robot and Human Interactive Communication},
 organization = {IEEE},
 pages = {672--677},
 pub_year = {2014},
 title = {Focusing learner-in-the-loop robotics on training spatial skills},
 venue = {The 23rd IEEE International Symposium …}
}

@inproceedings{ng2014method,
 abstract = {This paper describes a methodology for capturing the tacit knowledge of the manual grinding and polishing process. Key Process Variables (KPVs) ie contact force, tool path, feed rate, etc. of the manual operator performing the task are captured with asensorised'hand-held belt grinder, while the changes to the work-piece geometry is captured using a 3-D laser scanner. These KPVs are fed into an analytical material removal model to generate a material removal profile, which can then be calibrated using the actual},
 author = {Ng, Charles WX and Chan, Kelvin HK and Teo, Wee Kin and Chen, I-Ming},
 booktitle = {2014 IEEE International Conference on Robotics and Automation (ICRA)},
 organization = {IEEE},
 pages = {1374--1379},
 pub_year = {2014},
 title = {A method for capturing the tacit knowledge in the surface finishing skill by demonstration for programming a robot},
 venue = {2014 IEEE International …}
}

@inproceedings{chen2014robot,
 abstract = {The disassembly of end-of-life products has thus far seen minimal industrial application of robotics, aside from manufacturers initiatives to refurbish their own products. Conventional robotics in manufacturing lacks the flexibility to deal with the expected small lot sizes, product deviations and failed operations due to product damage. Disassembly systems not owned by manufacturers need to be readily adaptable to new designs on the market without access to the manufacturers' product information. We present a concept and initial},
 author = {Chen, Wei Hua and Wegener, Kathrin and Dietrich, Franz},
 booktitle = {2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)},
 organization = {IEEE},
 pages = {536--541},
 pub_year = {2014},
 title = {A robot assistant for unscrewing in hybrid human-robot disassembly},
 venue = {2014 IEEE International …}
}

@article{kober2014learning,
  title={Learning motor skills: from algorithms to robot experiments},
  author={Kober, Jens},
  journal={it-Information Technology},
  volume={56},
  number={3},
  pages={141--146},
  year={2014},
  publisher={De Gruyter Oldenbourg}
}

@inproceedings{klingbeil2014using,
 abstract = {Transferring human contact-manipulation skills to robots is complicated by the combinatorial growth in contact state descriptions with object and environment complexity, with no systematic method to characterize the subset of contact states that humans actually control. In this paper, we present an approach to determine whether human subjects control specific contact states. Subjects used a six degree-of-freedom haptic interface to place a box on a plane, and insert L-and S-shaped objects into corresponding holes, while using either their},
 author = {Klingbeil, Ellen and Menon, Samir and Go, Keegan and Khatib, Oussama},
 booktitle = {2014 IEEE Haptics Symposium (HAPTICS)},
 organization = {IEEE},
 pages = {93--95},
 pub_year = {2014},
 title = {Using haptics to probe human contact control strategies for six degree-of-freedom tasks},
 venue = {2014 IEEE Haptics …}
}

@inproceedings{verner2014puzzling,
 abstract = {Robot operation requires spatial reasoning and can be used for spatial training. This paper proposes exercises for training spatial skills through operating robot manipulators in virtual and real environments. The exercises were implemented in a robotics workshop, and the follow-up indicated a significant advance of the participants in performing mental rotation tasks.},
 author = {Verner, Igor M and Leibowitz, Dalia and Gamer, Sergei},
 booktitle = {2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
 organization = {IEEE},
 pages = {312--313},
 pub_year = {2014},
 title = {Puzzling exercises for spatial training with robot manipulators},
 venue = {2014 9th ACM/IEEE …}
}

@article{eich2014towards,
 abstract = {In this paper, the recent results of the space project IMPERA are presented. The goal of IMPERA is the development of a multirobot planning and plan execution architecture with a focus on a lunar sample collection scenario in an unknown environment. We describe the implementation and verification of different modules that are integrated into a distributed system architecture. The modules include a mission planning approach for a multirobot system and modules for task and skill execution within a lunar use‐case scenario. The skills},
 author = {Eich, Markus and Hartanto, Ronny and Kasperski, Sebastian and Natarajan, Sankaranarayanan and Wollenberg, Johannes},
 journal = {Journal of Field Robotics},
 number = {1},
 pages = {35--74},
 pub_year = {2014},
 publisher = {Wiley Online Library},
 title = {Towards coordinated multirobot missions for lunar sample collection in an unknown environment},
 venue = {Journal of Field …},
 volume = {31}
}

@inproceedings{rovida2018motion,
 abstract = {Task level programming based on skills has often been proposed as a mean to decrease programming complexity of industrial robots. Several models are based on encapsulating complex motions into self-contained primitive blocks. A semantic skill is then defined as a deterministic sequence of these primitives. A major limitation is that existing frameworks do not support the coordination of concurrent motion primitives with possible interference. This decreases their reusability and scalability in unstructured environments where a dynamic},
 author = {Rovida, Francesco and Wuthier, David and Grossmann, Bjarne and Fumagalli, Matteo and Kr{\"u}ger, Volker},
 booktitle = {2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 organization = {IEEE},
 pages = {5964--5971},
 pub_year = {2018},
 title = {Motion generators combined with behavior trees: a novel approach to skill modelling},
 venue = {2018 IEEE/RSJ …}
}

@inproceedings{topp2018ontology,
 abstract = {We assume that an intuitive means for the specification, re-use, modification and transfer of synchronized motions-both regarding the two arms of a dual-arm robotic system, as well as regarding the coordination of a user and a robot-is key in interactive and collaborative settings as they are currently targeted for industrial applications. We show, how our knowledge based approach to end-user programming of synchronized motions and other generalizable, robot-agnostic skills can support such specification of coordinated actions},
 author = {Topp, Elin A and Stenmark, Maj and Ganslandt, Alexander and Svensson, Andreas and Haage, Mathias and Malec, Jacek},
 booktitle = {2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 organization = {IEEE},
 pages = {5672--5678},
 pub_year = {2018},
 title = {Ontology-based knowledge representation for increased skill reusability in industrial robots},
 venue = {2018 IEEE/RSJ …}
}

@article{zeng2018robot,
 abstract = {Purpose Teaching by demonstration (TbD) is a promising way for robot learning skills in human and robot collaborative hybrid manufacturing lines. Traditionally, TbD systems have only concentrated on how to enable robots to learn movement skills from humans. This paper aims to develop an extended TbD system which can also enable learning stiffness regulation strategies from humans.},
 author = {Zeng, Chao and Yang, Chenguang and Chen, Zhaopeng and Dai, Shi-Lu},
 journal = {Assembly Automation},
 pub_year = {2018},
 publisher = {Emerald Publishing Limited},
 title = {Robot learning human stiffness regulation for hybrid manufacture},
 venue = {Assembly Automation}
}

@inproceedings{babu2018multimodal,
 abstract = {Recent developments in computer vision and the emergence of wearable sensors have opened opportunities for the development of advanced and sophisticated techniques to enable multi-modal user assessment and personalized training which is important in educational, industrial training and rehabilitation applications. They have also paved way for the use of assistive robots to accurately assess human cognitive and physical skills. Assessment and training cannot be generalized as the requirement varies for every person},
 author = {Babu, Ashwin Ramesh and Rajavenkatanarayanan, Akilesh and Brady, James Robert and Makedon, Fillia},
 booktitle = {Proceedings of the Workshop on Modeling Cognitive Processes from Multimodal Data},
 pages = {1--7},
 pub_year = {2018},
 title = {Multimodal approach for cognitive task performance prediction from body postures, facial expressions and EEG signal},
 venue = {Proceedings of the …}
}

@article{bruno2018dynamic,
 abstract = {The rise of interest in collaborative robotic cells for assembly or manufacturing has been attested by their inclusion among the enabling technologies of Industry 4.0. In collaborative cells, robots work side by side with human operators allowing to address a larger production scope characterized by medium production volumes and significant product variability. Despite the advances in research and the availability of suitable industrial robot models, several open problems still exist, due to the shift in the way of working: correct assessment of},
 author = {Bruno, Giulia and Antonelli, Dario},
 journal = {The International Journal of Advanced Manufacturing Technology},
 number = {9},
 pages = {2415--2427},
 pub_year = {2018},
 publisher = {Springer},
 title = {Dynamic task classification and assignment for the management of human-robot collaborative teams in workcells},
 venue = {The International Journal of Advanced …},
 volume = {98}
}

@article{schou2018skill,
 abstract = {During the past decades, the increasing need for more flexible and agile manufacturing equipment has spawned a growing interest in collaborative robots. Contrary to traditional industrial robots, collaborative robots are intended for operating alongside the production personnel in dynamic or semi-structured human environments. To cope with the environment and workflow of humans, new programming and control methods are needed compared to those of traditional industrial robots. This paper presents a task-level},
 author = {Schou, Casper and Andersen, Rasmus Skovgaard and Chrysostomou, Dimitrios and B{\o}gh, Simon and Madsen, Ole},
 journal = {Robotics and Computer-Integrated Manufacturing},
 pages = {72--80},
 pub_year = {2018},
 publisher = {Elsevier},
 title = {Skill-based instruction of collaborative robots in industrial settings},
 venue = {Robotics and Computer …},
 volume = {53}
}

@article{pearce2018optimizing,
 abstract = {As collaborative robots begin to appear on factory floors, there is a need to consider how these robots can best help their human partners. In this paper, we propose an optimization framework that generates task assignments and schedules for a human-robot team with the goal of improving both time and ergonomics and demonstrate its use in six real-world manufacturing processes that are currently performed manually. Using the strain index method to quantify human physical stress, we create a set of solutions with assigned},
 author = {Pearce, Margaret and Mutlu, Bilge and Shah, Julie and Radwin, Robert},
 journal = {IEEE transactions on automation science and engineering},
 number = {4},
 pages = {1772--1784},
 pub_year = {2018},
 publisher = {IEEE},
 title = {Optimizing makespan and ergonomics in integrating collaborative robots into manufacturing processes},
 venue = {IEEE transactions on …},
 volume = {15}
}

@article{wang2018masd,
 abstract = {Programming by demonstration (PBD) transforms the robot programming from the code level to automated interface between robot and human, promoting the flexibility of robotized automation. In this paper, we focus on programming the industrial robot for assembly tasks by parsing the human demonstration into a series of assembly skills and compiling the skill to the robot executables. To achieve this goal, an identification system using multimodal information to recognize the assembly skill, called MASD, is proposed including: 1) an initial},
 author = {Wang, Yue and Jiao, Yanmei and Xiong, Rong and Yu, Hongsheng and Zhang, Jiafan and Liu, Yong},
 journal = {IEEE Transactions on Automation Science and Engineering},
 number = {4},
 pages = {1722--1734},
 pub_year = {2018},
 publisher = {IEEE},
 title = {Masd: A multimodal assembly skill decoding system for robot programming by demonstration},
 venue = {IEEE Transactions on …},
 volume = {15}
}

@article{teixeira2018intelligent,
 abstract = {This paper presents a novel approach to environment mapping prediction with focus on autonomous climbing robot to NDT (Non-Destructive Technique) inspection. In industrial installations, the inspection of non-planar surfaces requires that NDT probes passe on whole surface, while the autonomous robot navigates over an unknown environment based only on its perception abilities. However, the path planning of inspection is not a trivial task specially when there is no precise information about environment. In this work, a special},
 author = {Teixeira, Marco Antonio Simoes and Santos, Higor Barbosa and Dalmedico, Nicolas and de Arruda, Lucia Valeria Ramos and de Oliveira, Andre Schneider and others},
 journal = {Journal of Intelligent \& Robotic Systems},
 number = {2},
 pages = {323--342},
 pub_year = {2018},
 publisher = {Springer},
 title = {Intelligent environment recognition and prediction for NDT inspection through autonomous climbing robot},
 venue = {Journal of Intelligent & …},
 volume = {92}
}

@inproceedings{thomas2018learning,
 abstract = {We show that our approach can efficiently learn to assemble mechanical objects using the  PR2 robot by exploiting a CAD specification of the  In future work, we will explore the use of  additional data that can be retrieved from a CAD file, such as tolerances, process planning, and},
 author = {Thomas, Garrett and Chien, Melissa and Tamar, Aviv and Ojea, Juan Aparicio and Abbeel, Pieter},
 booktitle = {2018 IEEE International Conference on Robotics and Automation (ICRA)},
 organization = {IEEE},
 pages = {3524--3531},
 pub_year = {2018},
 title = {Learning robotic assembly from cad},
 venue = {… Conference on …}
}

@inproceedings{hatori2018interactively,
 abstract = {Comprehension of spoken natural language is an essential skill for robots to communicate with humans effectively. However, handling unconstrained spoken instructions is challenging due to (1) complex structures and the wide variety of expressions used in spoken language, and (2) inherent ambiguity of human instructions. In this paper, we propose the first comprehensive system for controlling robots with unconstrained spoken language, which is able to effectively resolve ambiguity in spoken instructions. Specifically},
 author = {Hatori, Jun and Kikuchi, Yuta and Kobayashi, Sosuke and Takahashi, Kuniyuki and Tsuboi, Yuta and Unno, Yuya and Ko, Wilson and Tan, Jethro},
 booktitle = {2018 IEEE International Conference on Robotics and Automation (ICRA)},
 organization = {IEEE},
 pages = {3774--3781},
 pub_year = {2018},
 title = {Interactively picking real-world objects with unconstrained spoken language instructions},
 venue = {… on Robotics and …}
}

@inproceedings{nagele2018prototype,
  title={A prototype-based skill model for specifying robotic assembly tasks},
  author={N{\"a}gele, Frank and Halt, Lorenz and Tenbrock, Philipp and Pott, Andreas},
  booktitle={2018 IEEE International Conference on Robotics and Automation (ICRA)},
  pages={558--565},
  year={2018},
  organization={IEEE}
}

@article{chowdhury2017local,
 abstract = {Integrated fiber-wireless (FiWi) multi-robot networks will play a pivotal role in ensuring QoS for several human-to-robot (H2R) applications due to their coverage and capacity advantages. For the successful deployment of H2R applications, efficient task allocation among robots is essential, which has emerged as an interesting research topic by taking into account a wide variety of task and robot types, task location, robot availability, capability, and failure during task execution. To render the task allocation process more efficient, we},
 author = {Chowdhury, Mahfuzulhoq and Maier, Martin},
 journal = {IEEE Systems Journal},
 number = {3},
 pages = {2250--2260},
 pub_year = {2017},
 publisher = {IEEE},
 title = {Local and nonlocal human-to-robot task allocation in fiber-wireless multi-robot networks},
 venue = {IEEE Systems Journal},
 volume = {12}
}

@article{steinmetz2018razer,
 abstract = {Maintaining competitiveness and mitigating health issues test caused by unergonomic working conditions are two main reasons for automating production processes. But such automation is expensive, also because test experts are required to program the robots. One approach to lowering these costs is to enable shop-floor workers to program robots by providing task-level programming tools. Task-level programming is an established approach, yet appropriate workflows for experts and shop-floor workers remain to be},
 author = {Steinmetz, Franz and Wollschl{\"a}ger, Annika and Weitschat, Roman},
 journal = {IEEE Robotics and Automation Letters},
 number = {3},
 pages = {1362--1369},
 pub_year = {2018},
 publisher = {IEEE},
 title = {Razer—a hri for visual task-level programming and intuitive skill parameterization},
 venue = {IEEE Robotics and …},
 volume = {3}
}

@inproceedings{salah2018hybrid,
 abstract = {Apple harvest is a time-consuming process which requires intensive skilled labor. Precision agriculture and automation solutions are facing several challenges such as entangled tasks, complex dynamics, challenging terrains, and cost-effectiveness. This paper introduces a hybrid control multi-agent cooperative system to incorporate pickers' manual skills and flexibility with robots precision, and navigation ability to automate bins transportation in order to optimize harvest time and cost. This paper presents a multi-agent cooperative system and},
 author = {Salah, Khalid and Chen, XiaoQi and Neshatian, Kourosh and Pretty, Chris},
 booktitle = {2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)},
 organization = {IEEE},
 pages = {644--649},
 pub_year = {2018},
 title = {A hybrid control multi-agent cooperative system for autonomous bin transport during apple harvest},
 venue = {2018 13th IEEE …}
}

@inproceedings{abujelala2018collaborative,
 abstract = {In recent years robots have been replacing human workers in many industries. As robot manufacturing becomes more optimized and cost effective, the use of robots is going to evolve in various fields. Thus, it is essential to prepare workers to operate robots and work collaboratively with them side by side. In this paper, we are proposing a human-robot collaborative task to assess human performance in experimental, industrial setup. The task is designed in both virtual and physical environments.},
 author = {Abujelala, Maher and Gupta, Sanika and Makedon, Fillia},
 booktitle = {Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference},
 pages = {118--119},
 pub_year = {2018},
 title = {A collaborative assembly task to assess worker skills in robot manufacturing environments},
 venue = {Proceedings of the 11th PErvasive …}
}

@inproceedings{wei2018research,
 abstract = {This paper analyzes the influence of different task environment on the endpoint impedance of human upper limb. Two different task environment which combine non-contact environment in free space and constrained contact environment are selected. In non-contact environment, the task is to perform an approximate uniform linear motion along a straight way in a horizontal plane by holding a tool. In contact environment, the task is to perform manual surface polishing on a relatively flat steel plate by holding a tool. A 7-DOF (degree of},
 author = {Wei, Chengpeng and Chen, Chin-Yin and Gao, Xiaohong and Yang, Guilin and Zhang, Gang and Fang, Zaojun},
 booktitle = {2018 IEEE International Conference on Applied System Invention (ICASI)},
 organization = {IEEE},
 pages = {494--497},
 pub_year = {2018},
 title = {Research on human upper limb endpoint mechanical impedance with multi-task environment},
 venue = {… on Applied System …}
}

@inproceedings{lopez2018grounding,
 abstract = {Traditionally, manufacturing systems that employ industrial robots restrict the workspace of the robot with the objective of avoiding collisions with humans or other obstacles during operations. A recent trend in manufacturing is to design even more flexible manufacturing systems to adapt quickly to market demand. This manufacturing tendency leads to a system in which humans and robots collaborate, sharing the tasks and workspace. This type of hybrid manufacturing combines human and robot abilities and is based on using the},
 author = {Lopez-Juarez, Ismael and Rios-Cabrera, Reyes and Rojas-Sanchez, Emmanuel and Maldonado-Ramirez, Alan and Lefranc, Gaston},
 booktitle = {2018 7th International Conference on Computers Communications and Control (ICCCC)},
 organization = {IEEE},
 pages = {282--288},
 pub_year = {2018},
 title = {Grounding the lexicon for human-robot interaction during the manipulation of irregular objects},
 venue = {… and Control (ICCCC …}
}

@inproceedings{michael2017design,
 abstract = {Programming by Demonstration (PbD) is an intuitive way of teaching new skills to a robot either by the guidance of demonstration devices or by means of natural communications, such as gestures, voice commands, and kinesthetic methods. This paper proposes a novel low-cost demonstration device for an industrial manipulator that can considerably reduce time and effort required for programming. The demonstration device is designed to be portable and can be easily integrated to an existing industrial manipulator. In a repeatability},
 author = {Michael, Milan and Rahul, ES and Bhavani, Rao R},
 booktitle = {2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT)},
 organization = {IEEE},
 pages = {704--709},
 pub_year = {2017},
 title = {Design and validation of a 3-wire demonstration device for programming industrial manipulator},
 venue = {… Conference on Intelligent …}
}

@article{huang2017multirobot,
 abstract = {This paper presents a multirobot system for manufacturing personalized medical stent grafts. The proposed system adopts a modular design, which includes a (personalized) mandrel module, a bimanual sewing module, and a vision module. The mandrel module incorporates the personalized geometry of patients, while the bimanual sewing module adopts a learning-by-demonstration approach to transfer human hand-sewing skills to the robots. The human demonstrations were first observed by the vision module and then encoded using a},
 author = {Huang, Bidan and Ye, Menglong and Hu, Yang and Vandini, Alessandro and Lee, Su-Lin and Yang, Guang-Zhong},
 journal = {IEEE Transactions on Industrial Informatics},
 number = {4},
 pages = {1776--1785},
 pub_year = {2017},
 publisher = {IEEE},
 title = {A multirobot cooperation framework for sewing personalized stent grafts},
 venue = {IEEE Transactions on …},
 volume = {14}
}

@inproceedings{dharo2017integrated,
  title={An integrated framework for multimodal human-robot interaction},
  author={D'Haro, Luis Fernando and Niculescu, Andreea I and Cai, Caixia and Nair, Suraj and Banchs, Rafael E and Knoll, Alois and Li, Haizhou},
  booktitle={2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)},
  pages={076--082},
  year={2017},
  organization={IEEE}
}

@inproceedings{castellanos2017using,
 abstract = {Play is a crucial activity for child development. Play in children with physical disabilities may be compromised due to their physical limitations, such as having difficulties reaching and manipulating objects. Assistive technology robotic systems have been used as tools for children with disabilities to play and interact with the environment. Robots have shown a positive impact on children's independence, cognitive, and social skills. The present study is the first stage of a project to develop a telerobotic haptic system, with the goal of supporting},
 author = {Castellanos, Javier L and Gomez, Maria F and Adams, Kim D},
 booktitle = {2017 IEEE Symposium Series on Computational Intelligence (SSCI)},
 organization = {IEEE},
 pages = {1--7},
 pub_year = {2017},
 title = {Using machine learning based on eye gaze to predict targets: An exploratory study},
 venue = {2017 IEEE Symposium …}
}

@inproceedings{bitonneau2017design,
 abstract = {Industrials are starting to deploy interactive robots as new solutions to improve workstations. In particular, workstations where human operators may get injured because of repetitive tasks, bad postures or heavy loads are targeted. The introduction of such interactive systems on industrial workstations brings new challenges concerning human cognitive and physical considerations to factories. We followed an approach involving operators, and ergonomics and cognitive engineering skills to improve the introduction of interactive robots in the},
 author = {Bitonneau, David and Mouli{\`e}res-Seban, Th{\'e}o and Dumora, Julie and Ly, Olivier and Thibault, Jean-Fran{\c{c}}ois and Salotti, Jean-Marc and Claverie, Bernard},
 booktitle = {2017 IEEE/SICE International Symposium on System Integration (SII)},
 organization = {IEEE},
 pages = {1--8},
 pub_year = {2017},
 title = {Design of an industrial human-robot system through participative simulations—Tank cleaning case study},
 venue = {2017 IEEE/SICE …}
}

@inproceedings{rasheed2017feature,
 abstract = {Recent advancements in the domain of robotics have offered support to humans in their everyday activities with the aim of offloading workers from performing repetitive tasks. The present work highlights one such task in garment industry where the robot may find potential to manipulate different garments including developing a number of robotic skills like laundry pile sorting, garment stacking and garment folding/unfolding. This paper is aimed to study the integration of hardware and software developed for ClopeMa Project on a human},
 author = {Rasheed, Tahir and Khan, Abdul Attayyab and Iqbal, Jamshed},
 booktitle = {2017 First International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT)},
 organization = {IEEE},
 pages = {1--6},
 pub_year = {2017},
 title = {Feature extraction of garments based on Gaussian mixture for autonomous robotic manipulation},
 venue = {2017 First International …}
}

@article{gluck2018towards,
  title={Towards a tool-based methodology for developing software for dynamic robot teams},
  author={Gl{\"u}ck, Roland and Hoffmann, Alwin and N{\"a}gele, Ludwig and Schierl, Andreas and Reif, Wolfgang and Voggenreiter, Heinz},
  year={2018}
}

@incollection{verner2018spatial,
 abstract = {This paper presents a study in which learning interactions of novice engineering students with robot manipulators focus on training spatial skills. To support the interactions, we customized the robots' workspaces, designed virtual robotic cells, and developed robot manipulation tasks with oriented blocks. 20 high school students (HSS) majoring in mechanics and 248 Technion first-year students (TS) participated. The study indicated that following the training, the HSS improved their performance of spatial tests, and the TS},
 author = {Verner, Igor and Gamer, Sergei},
 booktitle = {Online Engineering \& Internet of Things},
 pages = {359--366},
 pub_year = {2018},
 publisher = {Springer},
 title = {Spatial learning of novice engineering students through practice of interaction with robot-manipulators},
 venue = {Online Engineering & Internet of Things}
}

@article{cramer2018towards,
 abstract = {In manufacturing industry, a shift is observable towards high-mix, low-volume batches. The upcoming era demands both flexible and automated systems for which the required skills go far beyond those of humans or robots alone. The solution can be found in human-robot collaboration (HRC). HRC could be more natural and efficient if both actors recognise and anticipate each other's activities and intentions. Current mainstream research focuses on recognising activities using a machine learning framework trained with labelled data of},
 author = {Cramer, Martijn and Cramer, Jeroen and Kellens, Karel and Demeester, Eric},
 journal = {Procedia CIRP},
 pages = {255--260},
 pub_year = {2018},
 publisher = {Elsevier},
 title = {Towards robust intention estimation based on object affordance enabling natural human-robot collaboration in assembly tasks},
 venue = {Procedia CIRP},
 volume = {78}
}

@inproceedings{liu2018user,
author={Liu,W. and Emmerich,C. and Zhang,L. and Steil,J.},
editor={ },
year={2018},
title={User interfaces for learning redundancy resolution in human robot interaction},
booktitle={Advances in the Astronautical Sciences},
volume={165},
pages={797-810},
language={English},
url={[www.scopus.com](http://www.scopus.com/)},
}

@inproceedings{degeafernandez2018hybr,
  title={Hybr-iT Project: Initial Steps Towards Contextual Robotic Manipulation for Human-Robot Teams in Industrial Environments.},
  author={de Gea Fern{\'a}ndez, Jos{\'e} and Niemann, Nils and Stock, Sebastian and G{\"u}nther, Martin and Mronga, Dennis and Wiese, Hendrik and Kirchner, Elsa Andrea and Stiene, Stefan},
  booktitle={CCIA},
  pages={345--349},
  year={2018}
}

@inproceedings{hertle2018efficient,
  title={Efficient auction based coordination for distributed multi-agent planning in temporal domains using resource abstraction},
  author={Hertle, Andreas and Nebel, Bernhard},
  booktitle={Joint German/Austrian Conference on Artificial Intelligence (K{\"u}nstliche Intelligenz)},
  pages={86--98},
  year={2018},
  organization={Springer}
}

@article{cesta2018fostering,
  title={Fostering robust human-robot collaboration through AI task planning},
  author={Cesta, Amedeo and Orlandini, Andrea and Umbrico, Alessandro},
  journal={Procedia CIRP},
  volume={72},
  pages={1045--1050},
  year={2018},
  publisher={Elsevier}
}

@article{seo2018investigating,
  title={Investigating people’s rapport building and hindering behaviors when working with a collaborative robot},
  author={Seo, Stela H and Griffin, Keelin and Young, James E and Bunt, Andrea and Prentice, Susan and Loureiro-Rodr{\'\i}guez, Ver{\'o}nica},
  journal={International Journal of Social Robotics},
  volume={10},
  number={1},
  pages={147--161},
  year={2018},
  publisher={Springer}
}

@inproceedings{liu2017dynamic,
  title={Dynamic scheduling for heterogeneous resources with time windows and precedence relation},
  author={Liu, Shudong and Kurniawan, Ernest and Tan, Peng Hui and Zhang, Peng and Sun, Sumei and Ye, Sarah},
  booktitle={TENCON 2017-2017 IEEE Region 10 Conference},
  pages={3045--3050},
  year={2017},
  organization={IEEE}
}

@inproceedings{matsunaga2017motion,
  title={Motion reproduction system using multi dof haptic forceps robots for ligation task},
  author={Matsunaga, Takuya and Okano, Toshiaki and Sun, Xiaobai and Mizoguchi, Takahiro and Ohnishi, Kouhei},
  booktitle={IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society},
  pages={2888--2893},
  year={2017},
  organization={IEEE}
}

@inproceedings{yahya2017collective,
  title={Collective robot reinforcement learning with distributed asynchronous guided policy search},
  author={Yahya, Ali and Li, Adrian and Kalakrishnan, Mrinal and Chebotar, Yevgen and Levine, Sergey},
  booktitle={2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={79--86},
  year={2017},
  organization={IEEE}
}

@article{kharidege2017practical,
  title={A practical approach for automated polishing system of free-form surface path generation based on industrial arm robot},
  author={Kharidege, Ahmed and Ting, Du Ting and Yajun, Zhang},
  journal={The International Journal of Advanced Manufacturing Technology},
  volume={93},
  number={9},
  pages={3921--3934},
  year={2017},
  publisher={Springer}
}

@techreport{mueller2017improving,
  title={Improving Working Conditions in Aircraft Productions using Human-Robot-Collaboration in a Collaborative Riveting Process},
  author={Mueller, Rainer and Vette, Matthias and Geenen, Aaron and Masiak, Tobias},
  year={2017},
  institution={SAE Technical Paper}
}

@Article{ersen2017cognition,
  author    = {Ersen, Mustafa and Oztop, Erhan and Sariel, Sanem},
  journal   = {IEEE Robotics \& Automation Magazine},
  title     = {Cognition-enabled robot manipulation in human environments: requirements, recent work, and open problems},
  year      = {2017},
  number    = {3},
  pages     = {108--122},
  volume    = {24},
  abstract  = {Service robots are expected to play an important role in our daily lives as our companions in home and work environments in the near future. An important requirement for fulfilling this expectation is to equip robots with skills to perform everyday manipulation tasks, the success of which is crucial for most home chores, such as cooking, cleaning, and shopping. Robots have been used successfully for manipulation tasks in wellstructured and controlled factory environments for decades. Designing skills for robots working in uncontrolled human},
  pub_year  = {2017},
  publisher = {IEEE},
  venue     = {IEEE Robotics & Automation …},
}

@article{jha2017kinematics,
  title={Kinematics-based approach for robot programming via human arm motion},
  author={Jha, Abhishek and Chiddarwar, Shital S and Alakshendra, Veer and Andulkar, Mayur V},
  journal={Journal of the Brazilian Society of Mechanical Sciences and Engineering},
  volume={39},
  number={7},
  pages={2659--2675},
  year={2017},
  publisher={Springer}
}

@inproceedings{delhaisse2017transfer,
 abstract = {Learning complex manipulation tasks often requires to collect a large training dataset to obtain a model of a specific skill. This process may become laborious when dealing with high-DoF robots, and even more tiresome if the skill needs to be learned by multiple robots. In this paper, we investigate how this learning process can be accelerated by using shared latent variable models for knowledge transfer among similar robots in an imitation setting. For this purpose, we take advantage of a shared Gaussian process latent variable model to},
 author = {Delhaisse, Brian and Esteban, Domingo and Rozo, Leonel and Caldwell, Darwin},
 booktitle = {2017 International Joint Conference on Neural Networks (IJCNN)},
 organization = {IEEE},
 pages = {4142--4149},
 pub_year = {2017},
 title = {Transfer learning of shared latent spaces between robots with similar kinematic structure},
 venue = {2017 International Joint …}
}

@incollection{rovida2017skiros,
  title={SkiROS—a skill-based robot control platform on top of ROS},
  author={Rovida, Francesco and Crosby, Matthew and Holz, Dirk and Polydoros, Athanasios S and Gro{\ss}mann, Bjarne and Petrick, Ronald and Kr{\"u}ger, Volker},
  booktitle={Robot operating system (ROS)},
  pages={121--160},
  year={2017},
  publisher={Springer}
}

@article{ng2015programming,
  title={Programming a robot for conformance grinding of complex shapes by capturing the tacit knowledge of a skilled operator},
  author={Ng, Wu Xin and Chan, Hau Kong and Teo, Wee Kin and Chen, I-Ming},
  journal={IEEE Transactions on Automation Science and Engineering},
  volume={14},
  number={2},
  pages={1020--1030},
  year={2015},
  publisher={IEEE}
}

@inproceedings{stenmark2017simplified,
  title={Simplified programming of re-usable skills on a safe industrial robot: Prototype and evaluation},
  author={Stenmark, Maj and Haage, Mathias and Topp, Elin Anna},
  booktitle={Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction},
  pages={463--472},
  year={2017}
}

@inproceedings{mohammed2017acquiring,
  title={Acquiring human-robot interaction skills with transfer learning techniques},
  author={Mohammed, Omar and Bailly, G{\'e}rard and Pellier, Damien},
  booktitle={Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction},
  pages={359--360},
  year={2017}
}

@inproceedings{lin2016robot,
  title={Robot learning from human demonstration with remote lead hrough teaching},
  author={Lin, Hsien-Chung and Tang, Te and Fan, Yongxiang and Zhao, Yu and Tomizuka, Masayoshi and Chen, Wenjie},
  booktitle={2016 European Control Conference (ECC)},
  pages={388--394},
  year={2016},
  organization={IEEE}
}

@article{johannsmeier2016hierarchical,
  title={A hierarchical human-robot interaction-planning framework for task allocation in collaborative industrial assembly processes},
  author={Johannsmeier, Lars and Haddadin, Sami},
  journal={IEEE Robotics and Automation Letters},
  volume={2},
  number={1},
  pages={41--48},
  year={2016},
  publisher={IEEE}
}

@inproceedings{stenmark2017knowledge,
  title={Knowledge for synchronized dual-arm robot programming},
  author={Stenmark, Maj and Topp, Elin A and Haage, Mathias and Malec, Jacek},
  booktitle={2017 AAAI Fall Symposium Series},
  year={2017}
}

@inproceedings{crosby2017integrating,
  title={Integrating mission and task planning in an industrial robotics framework},
  author={Crosby, Matthew and Petrick, Ronald PA and Rovida, Francesco and Krueger, Volker},
  booktitle={Twenty-Seventh International Conference on Automated Planning and Scheduling},
  year={2017}
}

@article{andersen2017integration,
  title={Integration of a skill-based collaborative mobile robot in a smart cyber-physical environment},
  author={Andersen, Rasmus Eckholdt and Hansen, Emil Blixt and Cerny, David and Madsen, Steffen and Pulendralingam, Biranavan and B{\o}gh, Simon and Chrysostomou, Dimitrios},
  journal={Procedia Manufacturing},
  volume={11},
  pages={114--123},
  year={2017},
  publisher={Elsevier}
}

@article{koch2017skill,
  title={A skill-based robot co-worker for industrial maintenance tasks},
  author={Koch, Paul J and van Amstel, Marike K and D{\k{e}}bska, Patrycja and Thormann, Moritz A and Tetzlaff, Adrian J and B{\o}gh, Simon and Chrysostomou, Dimitrios},
  journal={Procedia Manufacturing},
  volume={11},
  pages={83--90},
  year={2017},
  publisher={Elsevier}
}

@article{basso2017towards,
  title={Towards intelligent autonomous sorting of unclassified nuclear wastes},
  author={Basso, Andrea and Hlav{\'a}{\v{c}}, V{\'a}clav and H{\uu}lka, Ji{\v{r}}{\'\i} and Jilich, Michael and Krsek, Pavel and Malassiotis, Sotiris and Molfino, Rezia and Smutn{\`y}, Vladim{\'\i}r and Wagner, Libor and Zoppi, Matteo},
  journal={Procedia Manufacturing},
  volume={11},
  pages={389--396},
  year={2017},
  publisher={Elsevier}
}

@inproceedings{nagy2017active,
  title={Active Team Management Strategies for Multi-robot Teams in Dangerous Environments},
  author={Nagy, Geoff and Anderson, John},
  booktitle={Canadian Conference on Artificial Intelligence},
  pages={385--396},
  year={2017},
  organization={Springer}
}

@inproceedings{crosby2017integrating,
  title={Integrating mission, logistics, and task planning for skills-based robot control in industrial kitting applications},
  author={Crosby, Matthew and Petrick, Ronald PA and Toscano, C{\'e}sar and Dias, Rui Correia and Rovida, Francesco and Kr{\"u}ger, Volker},
  booktitle={CEUR Workshop Proceedings},
  volume={1782},
  year={2017},
  organization={CEUR Workshop Proceedings}
}

@incollection{nagata2017porting,
  title={Porting experiment of robotic machining application using ORiN SDK and design of 3D printer-like interface},
  author={Nagata, Fusaomi and Hayashi, Shohei and Yoshimoto, Shingo and Otsuka, Akimasa and Watanabe, Keigo and Habib, Maki K},
  booktitle={Robot Intelligence Technology and Applications 4},
  pages={563--579},
  year={2017},
  publisher={Springer}
}

@inproceedings{gu2015fine,
  title={Fine manipulative action recognition through sensor fusion},
  author={Gu, Ye and Sheng, Weihua and Liu, Meiqin and Ou, Yongsheng},
  booktitle={2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={886--891},
  year={2015},
  organization={IEEE}
}

@article{ceriani2015reactive,
  title={Reactive task adaptation based on hierarchical constraints classification for safe industrial robots},
  author={Ceriani, Nicola Maria and Zanchettin, Andrea Maria and Rocco, Paolo and Stolt, Andreas and Robertsson, Anders},
  journal={IEEE/ASME Transactions on Mechatronics},
  volume={20},
  number={6},
  pages={2935--2949},
  year={2015},
  publisher={IEEE}
}

@article{pedersen2015gesture,
  title={Gesture-based extraction of robot skill parameters for intuitive robot programming},
  author={Pedersen, Mikkel Rath and Kr{\"u}ger, Volker},
  journal={Journal of Intelligent \& Robotic Systems},
  volume={80},
  number={1},
  pages={149--163},
  year={2015},
  publisher={Springer}
}

@inproceedings{verner2015reorganizing,
  title={Reorganizing the industrial robotics laboratory for spatial training of novice engineering students},
  author={Verner, Igor M and Gamer, Sergei},
  booktitle={2015 International Conference on Interactive Collaborative Learning (ICL)},
  pages={1235--1241},
  year={2015},
  organization={IEEE}
}

@inproceedings{foit2015modelling,
  title={Modelling of cooperating robotized systems with the use of object-based approach},
  author={Foit, Krzysztof and Gwiazda, Aleksander and Banas, W and Sekala, A and Hryniewicz, Przemys{\l}aw},
  booktitle={IOP Conference Series: Materials Science and Engineering},
  volume={95},
  number={1},
  pages={012107},
  year={2015},
  organization={IOP Publishing}
}

@inproceedings{jha2015application,
  title={Application of human arm kinematics for robot path programming using imitation},
  author={Jha, Abhishek and Chiddarwar, Shital S and Andulkar, Mayur},
  booktitle={Proceedings of the 2015 Conference on Advances In Robotics},
  pages={1--6},
  year={2015}
}

@inproceedings{rovida2015design,
  title={Design and development of a software architecture for autonomous mobile manipulators in industrial environments},
  author={Rovida, Francesco and Kr{\"u}ger, Volker},
  booktitle={2015 IEEE International Conference on Industrial Technology (ICIT)},
  pages={3288--3295},
  year={2015},
  organization={IEEE}
}

@inproceedings{andersen2015intuitive,
  title={Intuitive task programming of stud welding robots for ship construction},
  author={Andersen, Rasmus S and B{\o}gh, Simon and Moeslund, Thomas B and Madsen, Ole},
  booktitle={2015 IEEE International Conference on Industrial Technology (ICIT)},
  pages={3302--3307},
  year={2015},
  organization={IEEE}
}

@inproceedings{rukshan2015design,
  title={Design and development of flexible fixturing system for handling irregular shaped components},
  author={Rukshan, KHI and Chaminie, WAN and Madushan, MD and Jayaweera, N},
  booktitle={2015 Moratuwa Engineering Research Conference (MERCon)},
  pages={171--176},
  year={2015},
  organization={IEEE}
}

@article{wang2015real,
  title={Real-time multisensor data retrieval for cloud robotic systems},
  author={Wang, Lujia and Liu, Ming and Meng, Max Q-H},
  journal={IEEE Transactions on Automation Science and Engineering},
  volume={12},
  number={2},
  pages={507--518},
  year={2015},
  publisher={IEEE}
}

@article{navarro2015line,
  title={On-line knowledge acquisition and enhancement in robotic assembly tasks},
  author={Navarro-Gonzalez, JL and Lopez-Juarez, I and Rios-Cabrera, R and Ordaz-Hern{\'a}ndez, K},
  journal={Robotics and Computer-Integrated Manufacturing},
  volume={33},
  pages={78--89},
  year={2015},
  publisher={Elsevier}
}

@inproceedings{stenmark2015connecting,
  title={Connecting Natural Language to Task Demonstrations and Low-level Control of Industrial Robots.},
  author={Stenmark, Maj and Malec, Jacek},
  booktitle={MuSRobS@ IROS},
  pages={25--29},
  year={2015}
}

@inproceedings{scuturici2015continuous,
  title={Continuous Query Processing Over Data, Streams and Services: Application to Robotics},
  author={Scuturici, Vasile-Marian and Gripay, Yann and Petit, Jean-Marc and Deguchi, Yutaka and Suzuki, Einoshin},
  booktitle={East European Conference on Advances in Databases and Information Systems},
  pages={36--43},
  year={2015},
  organization={Springer}
}

@article{verner2015robotics,
  title={Robotics laboratory classes for spatial training of novice engineering students},
  author={Verner, Igor M and Gamer, Sergei},
  journal={International Journal of Engineering Education},
  volume={31},
  number={5},
  pages={1376--1388},
  year={2015}
}

@inproceedings{ramos2014exploring,
  title={Exploring the use of coupled oscillators for humanoid gait control},
  author={Ramos, Felipe Moreira and B{\'o}, Ant{\^o}nio Padilha Lanari},
  booktitle={2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol},
  pages={253--258},
  year={2014},
  organization={IEEE}
}