Matlab software for sensor fusion and Automatic Piecewise Affine model generation and analysis.
Citation: A. D. Buchan, D. W. Haldane and R. S. Fearing, "Automatic identification of dynamic piecewise affine models for a running robot," 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, 2013, pp. 5600-5607. doi: 10.1109/IROS.2013.6697168
BibTeX:
@INPROCEEDINGS{buchan_2013_iros,
author={A. D. Buchan and D. W. Haldane and R. S. Fearing},
booktitle={2013 IEEE/RSJ International Conference on Intelligent Robots and Systems},
title={Automatic identification of dynamic piecewise affine models for a running robot},
year={2013},
pages={5600-5607},
keywords={affine transforms;legged locomotion;piecewise constant techniques;state-space methods;trajectory control;PWA models;PWA regions;automatic identification;data-driven technique;derivative prediction accuracy;dynamic piecewise affine models;forward simulation accuracy;hexapedal millirobot;legged robot dynamics;model complexity;nonlinear system dynamics;null estimator;running robot;simulation prediction;state derivative prediction;state observations;state space;state trajectory;statistical clustering methods;time horizon;Analytical models;Computational modeling;Legged locomotion;Predictive models;Robot sensing systems;Trajectory},
doi={10.1109/IROS.2013.6697168},
ISSN={2153-0858},
month={Nov},
}