Walking Algorithm of Humanoid Robot on Uneven Terrain with Terrain Estimation
Author(s) -
Yi Jiang,
Qiuguo Zhu,
Rong Xiong,
Jun Wu
Publication year - 2016
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 - 10.5772/62245
Subject(s) - terrain , humanoid robot , computer science , robot , trajectory , gait , computer vision , swing , simulation , artificial intelligence , physical medicine and rehabilitation , engineering , medicine , mechanical engineering , ecology , physics , astronomy , biology
Humanoid robots are expected to achieve stable walking on uneven terrains. In this paper, a control algorithm for humanoid robots walking on previously unknown terrains with terrain estimation is proposed, which requires only minimum modification to the original walking gait. The swing foot trajectory is redesigned to ensure that the foot lands at the desired horizontal positions under various terrain height. A compliant terrain adaptation method is applied to the landing foot to achieve a firm contact with the ground. Then a terrain estimation method that takes into account the deformations of the linkages is applied, providing the target for the following correction and adjustment. The algorithm was validated through walking experiments on uneven terrains with the full-size humanoid robot Kong
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