Optimal energy gait planning for humanoid robot using geodesics

Liandong Zhang, Changjiu Zhou, Peijie Zhang, Zhiwei Song, Yue Pik Kong, Xinyu Han
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引用次数: 9

Abstract

A novel gait planning method using geodesics for humanoid robot is given in this paper. Both center of gravity (COG) and the exact Single Support Phase (SSP) are studied in our energy optimal gait planning based on geodesics. The kinetic energy of a 2-dimensional inverted pendulum is obtained at first. We regard the kinetic energy as the Riemannian metric and the geodesic on this metric is studied and this is the shortest line between two points on the Riemannian surface. This geodesic is the optimal kinetic energy gait for the COG because the kinetic energy along geodesic is invariant according to the geometric property of geodesics and the walking is stable and no impact. Then the walking in Single Support Phase is studied and the energy optimal gait for the swing leg is obtained using our geodesics method. Finally, experiments using traditional joint angles interpolating method and using our geodesics optimization method are carried out respectively and the corresponding currents of the joint motors are recorded. With the currents comparing results, the feasibility of this new gait planning method is verified.
基于测地线的仿人机器人能量步态优化规划
提出了一种基于测地线的仿人机器人步态规划方法。在基于测地线的能量最优步态规划中,我们同时研究了重心(COG)和精确单支撑相位(SSP)。首先得到了二维倒立摆的动能。我们把动能看作黎曼度规研究了这个度规上的测地线这是黎曼曲面上两点之间最短的线。根据测地线的几何特性,该测地线上的动能是不变的,行走平稳,无冲击,是齿轮传动机器人最优的动能步态。然后对单支撑阶段的行走进行了研究,利用测地线方法得到了摆动腿的能量最优步态。最后,分别采用传统的关节角度插值方法和我们的测地线优化方法进行了实验,并记录了相应的关节电机电流。通过电流对比结果,验证了该步态规划方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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