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Natural motion trajectory generation of biped locomotion robot using genetic algorithm through energy optimization

机译:通过能量优化使用遗传算法使用遗传算法的自然运动轨迹生成Biped Locomotion机器人

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The purpose of this research is to study the natural motion of a biped locomotion robot walking like a human in various environments. In this paper, we report about the natural motion trajectory generation of biped locomotion robot. We apply the genetic algorithm to off-line trajectory generation of biped locomotion robot through energy optimization and aim to generate more natural motion by considering the dynamic effect. Furthermore, we formulate the trajectory generation problem as a minimizing problem of energy so as to generate natural motion. To apply this calculated trajectory to a practical robot, we build a biped locomotion robot in trial, which has 13 joints and made of aluminum materials. Finally, we confirm that the calculated natural motion trajectory can be applied to practical biped locomotion.
机译:本研究的目的是研究一种像人类在各种环境中这样行走的双层运动机器人的自然运动。在本文中,我们报告了Biped Lopomotion机器人的自然运动轨迹产生。我们通过能量优化将遗传算法应用于脱丝轨迹机器人的脱扣机器机器人,并旨在通过考虑动态效果来产生更自然的运动。此外,我们制定轨迹产生问题,作为最小化能量问题,以产生自然运动。要将此计算的轨迹应用于实用机器人,我们在试验中建立了一款双层运动机器人,该机器人有13个关节并由铝材料制成。最后,我们确认计算出的自然运动轨迹可以应用于实际的Biped Locomotion。

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