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Update all links to MoveIt Pro to point to the comparision page (#886)
* Update all moveit.ai links to MoveIt Pro to point to the comparision page * Fixes * Fix 2
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_includes/announcement-banner.html

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<div class="moveit_announcement_banner">
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<span class="moveit_announcement_banner--close"></span>
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<!-- Close button -->
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<a href="https://picknik.ai/pro/">
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<a href="https://picknik.ai/moveit-2-vs-moveit-pro/">
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<img
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src="/assets/images/MoveIt_Announcement_Banner.png"
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alt="MoveIt announcement banner"

_includes/footer.html

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>
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</p>
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<p>
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Check out
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<a href="https://picknik.ai/pro/" target="_blank"
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Check out
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<a href="https://picknik.ai/moveit-2-vs-moveit-pro/" target="_blank"
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>MoveIt Pro</a
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>
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</p>

_includes/nav-bar.html

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<div class="dropdown-menu" aria-labelledby="navbarDropdownInstall">
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<a class="dropdown-item" href="/install">MoveIt 1</a>
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<a class="dropdown-item" href="/install-moveit2/binary/">MoveIt 2</a>
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<a class="dropdown-item" target="_blank" href="https://picknik.ai/pro/">MoveIt Pro</a>
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<a class="dropdown-item" target="_blank" href="https://picknik.ai/moveit-2-vs-moveit-pro/">MoveIt Pro</a>
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</div>
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</li>
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<li class="nav-item dropdown">

_posts/2018-2-26-tutorials-documentation-codesprint.markdown

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- Clean up the content and organization of the tutorials to help new users learn MoveIt! faster
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- Revamp the aesthetic appearance of the MoveIt! website
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We would like to thank Franka Emika for agreeing to sponsor this code sprint and their newest sensitive robotic arm - Panda - becoming the new flagship robot in the MoveIt! tutorials. You can find more information about open-source libraries and existing ROS integration of Panda at [https://frankaemika.github.io](https://frankaemika.github.io).
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We would like to thank Franka Emika for agreeing to sponsor this code sprint and their newest sensitive robotic arm - Panda - becoming the new flagship robot in the MoveIt! tutorials.
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<img src="{{ site.url }}/assets/images/sponsors/franka_logo.png" width="300" style="margin-top:20px"/>

_posts/2018-4-16-moveit-on-discourse.markdown

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In recent years there has been a migration related to ROS discussions, Q&amp;A, and collaboration to [ROS Discourse](http://discourse.ros.org). Inspired by ROS-Industrial's migration this month away from Google Groups, and we believe its time for MoveIt! to migrate as well. Starting April 16, 2018 the moveit-users Google Group will be marked as read-only. The content that is currently within the Google Groups forum will be kept available for reference, and inquiries to moveit-users will be met with an automatic reply to direct inquiries to the MoveIt! Discourse category.
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For users the move to the [MoveIt! Discourse category](https://discourse.ros.org/c/moveit) should be quite convenient and efficient. Accounts from GitHub, or Google, may be used, so no new accounts will be needed in those cases.
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For users the move to the [MoveIt! Discourse category](https://discourse.openrobotics.org/tag/moveit) should be quite convenient and efficient. Accounts from GitHub, or Google, may be used, so no new accounts will be needed in those cases.
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This Discourse category will not be for MoveIt! user questions, requests for technical help, or applications to specific robots. For user technical questions, please post on [ROS Answers](https://answers.ros.org/questions/) and tag with 'moveit'. All off topic questions will be deleted from this Discourse category.
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_posts/2019-08-05-world-moveit-day-2019.md

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- [Event details](https://www.eventbrite.com/e/world-moveit-day-2019-boulder-registration-74104704165?aff=ebdssbdestsearch)
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- USA, CA, Union City, [Vicarious](https://www.vicarious.com/)
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- Organizer: Peter So
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- USA, CA, San Jose, [Fetch Robotics](https://fetchrobotics.com/)
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- USA, CA, San Jose, Fetch Robotics
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- Organizer: Amel Ali
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- USA, ID, Pocatello, [Idaho State University](https://www.isu.edu)
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- Organizer: Omid Heidari

_posts/2022-03-15-gsoc.md

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MoveIt has been accepted again as a mentoring organization for the Google Summer of Code! Details about the program can be found [here](https://summerofcode.withgoogle.com/how-it-works/). Ideas for possible projects are listed [here](/events/2022-google-summer-of-code/). If you are a student who enjoys working on MoveIt, this is your chance. At a minimum, you should have experience with ROS. Ideally, you have also worked with MoveIt before. Almost all projects require experience with programming in C++.
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Now is the time to discuss your interest in a particular project on [Discourse](https://discourse.ros.org/c/moveit) or, when appropriate, on [Github](https://github.com/moveit/moveit.ros.org). I highly recommend to engage with the MoveIt community on Discourse *before* submitting an application. Make sure to look at [our tips for successful GSoC applications](/events/2022-google-summer-of-code/#tips-for-writing-a-successful-google-summer-of-code-application-for-moveit).
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Now is the time to discuss your interest in a particular project on [Discourse](https://discourse.openrobotics.org/tag/moveit) or, when appropriate, on [Github](https://github.com/moveit/moveit.ros.org). I highly recommend to engage with the MoveIt community on Discourse *before* submitting an application. Make sure to look at [our tips for successful GSoC applications](/events/2022-google-summer-of-code/#tips-for-writing-a-successful-google-summer-of-code-application-for-moveit).

_posts/2023-11-21-GSoC-2023-MoveIt-Servo-and-IK-Benchmarking.md

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* How accurate are the solutions?
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* If solver X is faster than solver Y, when/why is it better to use solver Y at all?
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Taking these questions as a starting point, Mohamed was crucial in the release of our new [ik_benchmarking](https://github.com/PickNikRobotics/ik_benchmarking) tool. While benchmarking pick_ik was our original goal, coincidentally, this project was happening at the same time as TRACLabs open-sourced their [ROS 2 port of the TRAC-IK solver](https://bitbucket.org/traclabs/trac_ik/src/rolling-devel/). This solver’s performance (speed and solve rate) with our benchmarks matched those presented in their repo very well.
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Taking these questions as a starting point, Mohamed was crucial in the release of our new [ik_benchmarking](https://github.com/PickNikRobotics/ik_benchmarking) tool. While benchmarking pick_ik was our original goal, coincidentally, this project was happening at the same time as TRACLabs open-sourced their ROS 2 port of the TRAC-IK solver. This solver’s performance (speed and solve rate) with our benchmarks matched those presented in their repo very well.
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To configure your IK benchmarking experiment with this new package, you can create a YAML file like this. The key parts are the MoveIt configuration package, a list of IK solver configuration files within that package, and the actual samples to generate.
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_posts/2024-01-31-Bin-Picking-Flexible-&-Fast-For-Any-Brand-of-Robot-Arm.md

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In this short video, you can see a Kinova Gen 3 and UR5e performing a bin-picking task using a two-finger gripper or suction end-effector. Using a ML-based behavior for image segmentation along with behaviors for depth image processing and point cloud registration, these objectives quickly and reliably generate and execute motion plans to remove items one at a time from a bin without training or prior knowledge of the object to be picked. MoveIt Studio allows on-site or remote operators to build, modify, and monitor the execution of this objective’s behavior tree as it picks, plans, and (if necessary) complete fallback or fault recovery.
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Whether you’re looking for a springboard on which to launch your new robotics product, or need a reliable robotic solution for your commercial application, MoveIt Pro can help you solve your problem. MoveIt Pro leverages industry leading motion planners, world class robotics know-how, and the hard-won wisdom gained delivering and deploying robust solutions to challenging robotic problems. To learn more about how MoveIt Pro can help accelerate your product’s development [contact us](https://picknik.ai/connect/) or read more [here](https://picknik.ai/pro/).
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Whether you’re looking for a springboard on which to launch your new robotics product, or need a reliable robotic solution for your commercial application, MoveIt Pro can help you solve your problem. MoveIt Pro leverages industry leading motion planners, world class robotics know-how, and the hard-won wisdom gained delivering and deploying robust solutions to challenging robotic problems. To learn more about how MoveIt Pro can help accelerate your product’s development [contact us](https://picknik.ai/connect/) or read more [here](https://picknik.ai/moveit-2-vs-moveit-pro/).

_posts/2024-02-20-Introduciong-MoveIt-Pro-Rapid-Robotics-Application-Development-for-Unstructured-Environments.md

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**Extensive Library of Reference Applications**
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Our library of reference applications allows you to significantly reduce development time. Current reference applications include, bin picking, opening doors, pick & place, peg in hole, scan & plan, cutting along path, and visual servoing. See our reference applications in action at [https://picknik.ai/pro/](https://picknik.ai/pro/).
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Our library of reference applications allows you to significantly reduce development time. Current reference applications include, bin picking, opening doors, pick & place, peg in hole, scan & plan, cutting along path, and visual servoing. See our reference applications in action at [https://picknik.ai/moveit-2-vs-moveit-pro/](https://picknik.ai/moveit-2-vs-moveit-pro/).
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**Robust Enterprise Support**
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