基于基杆非驱动动力学的仿人机器人惯性参数辨识

K. Ayusawa, G. Venture, Yoshihiko Nakamura
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引用次数: 23

摘要

惯性参数是仿人机器人运动模式生成的重要参数。传统的辨识方法可以用来估计这些参数;然而,他们需要通过建模或直接测量来获得关节扭矩估计。为了克服这个问题,我们最近开发了一种新的方法来估计腿式系统的惯性参数。通过仅使用基杆方程,我们获得了一个简化的识别模型,该模型不需要关节扭矩估计。在本文中,我们提出将该方法应用于人类大小的类人机器人。给出了初步实验结果并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of the inertial parameters of a humanoid robot using unactuated dynamics of the base link
The inertial parameters are important to generate motion patterns for humanoid robots. Conventional identification methods can be used to estimate these parameters; however they required the joint torque estimates that can be obtained by modeling of the transmission or by direct measurements. To overcome that issue we have recently developed a new method to estimate the inertial parameters of legged systems. By using the base-link equations only, we obtain a reduced identification model that is free of joint torque estimates. In this paper we propose to apply the method to a human-size humanoid robot. The preliminary experimental results are given and discussed.
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