基于遗传算法的倾斜平面动态旋转行走姿态优化

Chayooth Theeravithayangkura, T. Takubo, K. Ohara, Y. Mae, T. Arai
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引用次数: 3

摘要

针对机器人ASTERISK的动态旋转行走运动,设计了一种新的倾斜平面运动。基于各向同性腿的布置,设计了动态旋转行走运动。采用两个控制器对机器人进行控制;采用车盘模型对零力矩点进行预估控制,控制机器人的质心轨迹;采用分解动量控制,保持机器人的稳定性。作者利用遗传算法对每个倾斜角度的足部位置进行了优化。斜面运动在动力学模拟器Open dynamic Engine中进行确认,然后在实际机器人中实现。实际机器人可以在倾斜角度为5度和10度的斜面上上下行走。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic rotational walking motion on inclined-plane with posture optimization by genetic algorithms
New inclined-plane motion for limb mechanism robot ASTERISK's dynamic rotational walking motion is designed. The dynamic rotational walking motion is designed based on the isotropic leg arrangement. Two controllers are used to control the robot; the Preview control of zero moment point with cart-table model to control the robot's center of mass trajectory and the resolved momentum control to maintain stability of the robot. The authors optimized the foot positions for each inclined-angle by using genetic algorithms. The inclined-plane motions are confirmed in the dynamic simulator, Open Dynamic Engine, before implementing the motions into actual robot. The actual robot could walk upward and downward on inclined-planes with inclined-angle of 5 and 10 degree.
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