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Generation of a continuous free gait for quadruped robot over rough terrains

Shuaishuai Zhang, Mingqu Fan, Yibin Li, Xuewen Rong, Ming Liu

Year
2019
Citations
19

Abstract

Generating a robust gait is one of the most important factors to improve the adaptability of quadruped robots on rough terrains. This paper presents a new continuous free gait generation method for quadruped robots capable of walking on the rough terrain characterized by the uneven ground and forbidden areas. When walking with the proposed gait, the robot can effectively maintain its stability by using the Center of Gravity (COG) trajectory planning method. After analyzing the point cloud of rough terrain, the forbidden areas of the terrain can be obtained. Based on this analysis, an optimal foothold search strategy is presented to help quadruped robot to determine the optimum foothold for the swing foot automatically. In addition, the foot sequence determining method is proposed to improve the performance of robot. With the free gait proposed in this paper, quadruped robot can walk through the rough terrains automatically and successfully. The correctness and effectiveness of the proposed method is verified via simulations.

Keywords

TerrainCogRobotCenter of gravityGaitComputer scienceTrajectoryCorrectnessAdaptabilityArtificial intelligence

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