Robot experiment of torque learning for biped balance with respect to periodic external force

S. Ito, Haruhisa Kawasaki, Kohei Moriki, Minoru Sasaki
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引用次数: 5

Abstract

In this paper, we report robot experimental results of balance control and torque pattern learning under the influence of periodic external force. In the previous paper, we propose not only a control method for keeping balance based on the feedback of ground reaction forces but also a learning method of torque pattern for balancing in such a stationary environment as a periodic external force is exerted. In order to maintain the balance, the feedback of ground reaction forces is essential. As a result of learning, however, the information on them become unnecessary because the torque pattern for balancing is stored in the controller and thus the balancing is achieved in a feedforward manner. Here, we aim at verifying this control and learning scheme by experiments with a simple robot
周期性外力作用下两足平衡转矩学习机器人实验
本文报道了周期性外力作用下机器人平衡控制和转矩模式学习的实验结果。在上一篇文章中,我们不仅提出了一种基于地面反作用力反馈的平衡控制方法,而且提出了一种在周期性外力作用下的静止环境中平衡的力矩模式学习方法。为了保持平衡,地面反作用力的反馈是必不可少的。然而,由于学习的结果,它们的信息变得不必要,因为用于平衡的扭矩模式存储在控制器中,因此以前馈方式实现平衡。在这里,我们的目标是通过一个简单的机器人实验来验证这种控制和学习方案
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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