Knee-stretched walking with toe-off and heel-strike for a position-controlled humanoid robot based on model predictive control
Author(s) -
Zelin Huang,
Zhangguo Yu,
Xuechao Chen,
Qingqing Li,
Libo Meng,
Chencheng Dong,
Xiang Meng,
Wenxi Liao,
Qiang Huang
Publication year - 2021
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.1177/17298814211036282
Subject(s) - kinematics , gait , trajectory , computer science , humanoid robot , position (finance) , heel , robot , simulation , physical medicine and rehabilitation , control theory (sociology) , control (management) , artificial intelligence , physics , engineering , medicine , structural engineering , finance , classical mechanics , astronomy , economics
Knee-stretched walking is considered to be a human-like and energy-efficient gait. The strategy of extending legs to obtain vertical center of mass trajectory is commonly used to avoid the problem of singularities in knee-stretched gait generation. However, knee-stretched gait generation utilizing this strategy with toe-off and heel-strike has kinematics conflicts at transition moments between single support and double support phases. In this article, a knee-stretched walking generation with toe-off and heel-strike for the position-controlled humanoid robot has been proposed. The position constraints of center of mass have been considered in the gait generation to avoid the kinematics conflicts based on model predictive control. The method has been verified in simulation and validated in experiment.
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