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Judgment and adjustment of tipping instability for hexapod robots

Zhijiang Liu, Siyu Chen, Xin Luo

Year
2013
Citations
4

Abstract

Real-time response to tipping is essential for a hexapod robot to avoid damaging itself and load when it walks on rough terrains. In this paper, a criterion is proposed combining ZMP and FASM for the judgment of the stability of walking hexapod robots, and an analytical method is applied to determine the reachable workspace of its adjusted-leg and to choose footholds to restore stability based on the principle of maximizing force arm. Taking the case of a hexapod robot's sideline tipping on a slope terrain as an example, the simulation results verify the effectiveness of the proposed method.

Keywords

HexapodTerrainRobotComputer scienceStability (learning theory)WorkspaceControl theory (sociology)SimulationArtificial intelligenceControl (management)

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