Gait-behavior optimization considering arm swing and toe mechanism for biped walking on rough road

Van Tinh Nguyen, Tam Bui Ngoc, Hiroshi Hasegawa

研究成果: Article

抜粋

This research implements to optimize gait behavior of a biped robot while walking on rough road. Gait pattern is produced by solving constrained optimization problem using improve self-adaptive differential evolution (ISADE) and response surface model (RSM). The foot structure of the robot adopts a toe mechanism and is generated by topology optimization in which four specific situations are considered. The optimal structure is a combination of these four results. This structure not only reduces the weight of the robot but also ensures its stable walk. In addition, while considering the human walk, we discover that arm swing motion can preclude ground reaction torque caused by leg wing, thus, we applied a mechanism to imitate arm swing motion of the humans for the robot to enhance stability. It can be said that with two applied mechanisms, the robot motion is primarily comparable to the human one. Our result is validated by dynamic simulation in Adams environment (MSC software).

元の言語English
ページ(範囲)521-527
ページ数7
ジャーナルInternational Journal of Mechanical Engineering and Robotics Research
9
発行部数4
DOI
出版物ステータスPublished - 2020

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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