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A real-time control method for humanoid robot to walk stably on uneven ground

  • Mei Shuai*
  • , Chenglong Fu
  • , Ken Chen
  • *此作品的通讯作者
  • Tsinghua University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

To solve the problem that a humanoid robot is prone to tip over while walking on uneven ground, this paper presents an online regulating control algorithm based on the Kane collision theory. The algorithm, which introduces a new physical quantity named "generalized speed", can reduce second-order differential equation to first-order ordinary differential equation, and shorten the time of calculation. We adopt the offline gait pattern generated by Lagrange dynamic model to control the humanoid walking on level ground. When the robot lands on uneven ground surfaces, we first calculate the foot impact force using the Kane regulating algorithm and then use this information to adjust the gait of the legs and the torso in order to ensure a stable walk on the uneven ground. The effectiveness of the proposed algorithm was verified by walking simulations on a 5-link humanoid model under the Matlab/Simulink environment.

源语言英语
主期刊名2006 IEEE Conference on Robotics, Automation and Mechatronics
DOI
出版状态已出版 - 2006
活动2006 IEEE Conference on Robotics, Automation and Mechatronics - Bangkok, 泰国
期限: 7 6月 20069 6月 2006

出版系列

姓名2006 IEEE Conference on Robotics, Automation and Mechatronics

会议

会议2006 IEEE Conference on Robotics, Automation and Mechatronics
国家/地区泰国
Bangkok
时期7/06/069/06/06

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