Abstract¶
Humanoid robotics has spawned several fields of active research. When it comes to dynamic motion control, three lines of work stand out: reduced models (combined with inverse kinematics), local controllers and global planning. In the present paper, we present and further develop a motion planning approach recently proposed in [10], which allows planning with dynamics constraints while staying in the configuration space; thus avoiding the complexity explosion mentioned above. We briefly discuss how this approach can be extended to handle ZMP constraints, which may give rise to a new family of efficient motion planners for humanoid robots.
BibTeX¶
@inproceedings{caron2013rsj,
title = {Kinodynamic Motion Planners based on Velocity Interval Propagation},
author = {Caron, St{\'e}phane and Nakamura, Yoshihiko and Pham, Quang-Cuong},
booktitle = {Proceedings of the 31st Annual Conference of the Robotics Society of Japan},
year = {2013},
}
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