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An adaptive gait for quadruped robots to walk on a slope

Atsushi Konno, Katsuhisa Ogasawara, Yoonkwon Hwang, Eiichi Inohira, Masaru Uchiyama

Year
2004
Citations
21

Abstract

This paper proposes an adaptive intermittent crawl gait for quadruped robots to walk on a slope. In the proposed method, the inclination of a floor is estimated in real time by the displacement of the projection of the center of gravity from the nominal position. Depending upon the estimated inclination, the gait is changed in order to gain the longitudinal stability margin. Experiments and dynamic simulations are performed to validate the proposed method. The results are presented and discussed.

Keywords

Center of gravityGaitRobotComputer scienceControl theory (sociology)Displacement (psychology)Position (finance)Margin (machine learning)Projection (relational algebra)Simulation

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