A novel fuzzy omni-directional gait planning algorithm for biped robot

Haobin Shi, Xuesi Li, Weihao Liang, Ming'Ai Dang, Huahui Chen, Shixiong Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

Aiming at the problems in gait planning of the biped robots, including the complex model, low stability, etc., a novel fuzzy omni-directional gait planning algorithm (FOGPA) is proposed. At first, this method puts forward a new separated omni-directional gait planning model, which combines the straight walking planning algorithm based on the improved Hermite interpolation and the rotation motion together. And then, a fuzzy gait parameter adjustment algorithm is put forward to control the gait parameters including the step size and rotation speed dynamically. At last, the fuzzy control results are used to get the gait data of robot real-timely. The experiment results show that the FOGPA improves the stability and robustness of gait in a certain degree and also improves the adaptability to the complex environment of the robot.

源语言英语
主期刊名2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016
编辑Yihai Chen
出版商Institute of Electrical and Electronics Engineers Inc.
71-76
页数6
ISBN(电子版)9781509022397
DOI
出版状态已出版 - 18 7月 2016
活动17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016 - Shanghai, 中国
期限: 30 5月 20161 6月 2016

出版系列

姓名2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016

会议

会议17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016
国家/地区中国
Shanghai
时期30/05/161/06/16

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