A falling motion strategy for humanoids based on motion primitives of human falling

Libo Meng*, Zhangguo Yu, Weimin Zhang, Xuechao Chen, Marco Ceccarelli, Qiang Huang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, a falling motion planning for humanoid robots is proposed as inspired from human falling in order to decrease the impact force significantly. Firstly, motion data of human falling are obtained from a motion track system. Then, two falling motion primitives, namely, knee bending with stretching and hip bending with stretching are identified from human falling tests. A motion strategy is used to combine the falling motion primitives in motion strategy for humanoid falling in order to minimize the impact effects. Simulations and experiments with a humanoid robot have verified the proposed falling motion strategy.

源语言英语
主期刊名Advances in Service and Industrial Robotics - Proceedings of the 26th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2017
编辑Carlo Ferraresi, Giuseppe Quaglia
出版商Springer Netherlands
264-272
页数9
ISBN(印刷版)9783319612751
DOI
出版状态已出版 - 2018
活动26th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2017 - Turin, 意大利
期限: 21 6月 201723 6月 2017

出版系列

姓名Mechanisms and Machine Science
49
ISSN(印刷版)2211-0984
ISSN(电子版)2211-0992

会议

会议26th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2017
国家/地区意大利
Turin
时期21/06/1723/06/17

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