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Optimizing Bipedal Locomotion for The 100m Dash With Comparison to Human Running
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本文提出优化双足机器人Cassie步态效率的方法,实现高速跑动,并与人类跑步机制进行对比研究,最终将优化步态集成控制器,在100米赛跑中创造机器人世界纪录。

arXiv:2508.03070v1 Announce Type: cross Abstract: In this paper, we explore the space of running gaits for the bipedal robot Cassie. Our first contribution is to present an approach for optimizing gait efficiency across a spectrum of speeds with the aim of enabling extremely high-speed running on hardware. This raises the question of how the resulting gaits compare to human running mechanics, which are known to be highly efficient in comparison to quadrupeds. Our second contribution is to conduct this comparison based on established human biomechanical studies. We find that despite morphological differences between Cassie and humans, key properties of the gaits are highly similar across a wide range of speeds. Finally, our third contribution is to integrate the optimized running gaits into a full controller that satisfies the rules of the real-world task of the 100m dash, including starting and stopping from a standing position. We demonstrate this controller on hardware to establish the Guinness World Record for Fastest 100m by a Bipedal Robot.

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机器人步态 步态优化 人类跑步机制 机器人跑步 世界纪录
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