基于DCM和全身被动控制的柔顺和不平地形动态行走

George Mesesan, Johannes Englsberger, Gianluca Garofalo, C. Ott, A. Albu-Schäffer
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引用次数: 39

摘要

本文提出了一种完整的轨迹生成和控制方法,以实现仿人机器人在柔顺和不平坦地形上的鲁棒动态行走步态。这项工作使用运动发散分量(DCM)的概念来生成质心(CoM)轨迹,以及脚的笛卡尔多项式轨迹。这些参考轨迹由一个基于被动的全身控制器跟踪,该控制器计算关节扭矩,以指挥我们的扭矩控制人形机器人TORO。我们提供了关于轨迹生成和控制的实现细节,有助于防止指令关节扭矩的不连续,从而促进精确的轨迹跟踪和稳健的运动。我们展示了TORO在崎岖地形、草地上行走的大量实验结果,据我们所知,这是仿人机器人在柔软的健身房床垫上行走的第一份报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Walking on Compliant and Uneven Terrain using DCM and Passivity-based Whole-body Control
This paper presents a complete trajectory generation and control approach for achieving a robust dynamic walking gait for humanoid robots over compliant and uneven terrain. The work uses the concept of Divergent Component of Motion (DCM) for generating the center of mass (CoM) trajectory, and Cartesian polynomial trajectories for the feet. These reference trajectories are tracked by a passivity-based whole-body controller, which computes the joint torques for commanding our torque-controlled humanoid robot TORO. We provide the implementation details regarding the trajectory generation and control that help preventing discontinuities in the commanded joint torques, which facilitates precise trajectory tracking and robust locomotion. We present extensive experimental results of TORO walking over rough terrain, grass, and, to the best of our knowledge, the first report of a humanoid robot walking over a soft gym mattress.
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