Trajectory Generation and Compensation for External Forces with a Leg-wheeled Robot Designed for Human Passengers

Youhei Kakiuchi, Yuta Kojio, Noriaki Imaoka, Daiki Kusuyama, Shimpei Sato, Yutaro Matsuura, Takeshi Ando, M. Inaba
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Abstract

In this paper, we propose a method to generate a reference trajectory of a center of gravity (COG) and a zero moment point (ZMP) for hybrid locomotion, walking and wheeled locomotion. It extends the method to generate a reference ZMP trajectory with a linear inverted pendulum model (LIPM) for walking. By this method, an integrated stabilizing control for locomotion while switching walking and wheeled locomotion is achieved. It means that walking and wheeled locomotion are treated in a unified manner. It enables to generate hybrid locomotion easily and simply. In order to locomote with a passenger, a robot should be controlled by considering external force from passenger's weight and movement. We present a method to compensate such external forces by using a force/torque sensor between a seat and a robot. With the proposed methods stabilizing and compensating external forces, we verified that the real robot can locomote by a hybrid way, walking and wheeled locomotion, and the robot with a passenger can locomote by wheels.
人用腿轮式机器人的轨迹生成与外力补偿
本文提出了一种生成混合运动、步行和轮式运动的重心(COG)和零力矩点(ZMP)参考轨迹的方法。将该方法扩展到用线性倒立摆模型(LIPM)生成参考ZMP轨迹。该方法实现了机器人行走与轮式运动切换时的整体稳定控制。这意味着步行和轮式运动被统一对待。它可以轻松简单地产生混合运动。为了与乘客一起移动,机器人应该考虑来自乘客体重和运动的外力来控制。我们提出了一种通过在座椅和机器人之间使用力/扭矩传感器来补偿这种外力的方法。利用所提出的稳定和补偿外力的方法,验证了实际机器人可以采用步行和轮式混合运动的方式进行运动,并验证了载人机器人可以采用轮式运动。
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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