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Geometric Heat Flow Method for Legged Locomotion Planning

Yinai Fan, Shenyu Liu, Mohamed-Ali Belabbas

Year
2020
Citations
7

Abstract

We propose in this letter a motion planning method for legged robot locomotion based on Geometric Heat Flow framework. The task is challenging due to the hybrid nature of dynamics and contact constraints. We encode the hybrid dynamics and constraints into Riemannian inner product, and this inner product is defined so that short curves correspond to admissible motions for the system. We rely on the affine geometric heat flow to deform an arbitrary path connecting the desired initial and final states to this admissible motion. The method is able to automatically find the trajectory of robot's center of mass, feet contact positions and forces on uneven terrain.

Keywords

Motion planningTerrainTrajectoryFlow (mathematics)Motion (physics)RobotComputer scienceProduct (mathematics)Geometric flowControl theory (sociology)

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