We propose in this paper a motion planning method for legged robot locomotion based on Geometric Heat Flow framework. The motion planning 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.
翻译:在本文中,我们提出了一个基于几何热流框架的腿部机器人动脉移动运动规划方法。由于动态和接触限制的混合性质,运动规划任务具有挑战性。我们把混合动态和限制纳入里曼内产物中,而这一内产物的定义是短曲线与系统的可接受动作相对应。我们依靠方形几何热流来改变将理想的初始状态和最终状态与这一可接受动作联系起来的任意路径。这种方法能够自动找到机器人质量中心、脚接触位置和不均匀地形上的力量的轨迹。