Footstep planning for biped robot based on fuzzy Q-learning approach

Christophe Sabourin, Kurosh Madani, Weiwei Yu, Jie Yan

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

The biped robots have more flexible mechanical systems and they can move in more complex environment than wheeled robots. Their abilities to step over both static and dynamic obstacles allow to the biped robots to cross an uneven terrain where ordinary wheeled robots can fail. In this paper we present a footstep planning for biped robots allowing them to step over dynamic obstacles. Our footstep planning strategy is based on a fuzzy Q-learning concept. In comparison with other previous works, one of the most appealing interest of our approach is its good robustness because the proposed footstep planning is operational for both constant and random velocity of the obstacle.

源语言英语
主期刊名ICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics
183-188
页数6
出版状态已出版 - 2008
活动ICINCO 2008 - 5th International Conference on Informatics in Control, Automation and Robotics - Funchal, Madeira, 葡萄牙
期限: 11 5月 200815 5月 2008

出版系列

姓名ICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics
1 RA

会议

会议ICINCO 2008 - 5th International Conference on Informatics in Control, Automation and Robotics
国家/地区葡萄牙
Funchal, Madeira
时期11/05/0815/05/08

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