Home /Research /Crawling Gait Planning Based on Foot Trajectory Optimization for Quadruped Robot
LOCOMOTION

Crawling Gait Planning Based on Foot Trajectory Optimization for Quadruped Robot

Shuaidong Yuan, Yijun Zhou, Chen Luo

Year
2019
Citations
12

Abstract

A simple and compact quadruped robot of 12 DoF is designed. In order to solve the leg dragging, impingement against the ground and obstacle climbing, a foot trajectory gait planning based on a compound cycloid is proposed. The method can improve the obstacle-overcoming ability of the quadruped robot. In consideration of the influence of positions of joints on the center of gravity, a gait planning method and a posture adjustment strategy are designed based on ZMP stability criterion. Finally, the simulation is completed on the different terrains including flat lands, slopes and steps. The result shows that the robot walks stably on even terrain, the foot trajectory is smooth and minimum values of stability margin on the flat land, slope and step are 41.4 mm, 37.4 mm and 36.6 mm respectively.

Keywords

CrawlingRobotGaitTerrainTrajectoryCenter of gravityObstacleComputer scienceControl theory (sociology)Obstacle avoidance

Related papers

Browse all LOCOMOTION papers