Modeling multi-legged robot locomotion with slipping and its experimental validation

Ziyou Wu, Dan Zhao, Shai Revzen
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Abstract

Multi-legged robots with six or more legs are not in common use, despite designs with superior stability, maneuverability, and a low number of actuators being available for over 20 years. This may be in part due to the difficulty in modeling multi-legged motion with slipping and producing reliable predictions of body velocity. Here, we present a detailed measurement of the foot contact forces in a hexapedal robot with multiple sliding contacts, and provide an algorithm for predicting these contact forces and the body velocity. The algorithm relies on the recently published observation that even while slipping, multi-legged robots are principally kinematic, and employ a friction law ansatz that allows us to compute the shape-change to body-velocity connection and the foot contact forces. This results in the ability to simulate motion plans for a large number of contacts, each potentially with slipping. Furthermore, in homogeneous environments, this kind of simulation can run in (parallel) logarithmic time of the planning horizon.
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多足机器人打滑运动建模及其实验验证
尽管具有卓越稳定性、可操作性和低执行器数量的多足机器人设计已问世 20 多年,但六足或更多足的多足机器人并未得到普遍使用。部分原因可能是由于难以对多条腿的滑动运动进行建模,也难以对身体速度进行可靠的预测。在此,我们详细测量了具有多个滑动触点的六足机器人的脚接触力,并提供了预测这些接触力和身体速度的算法。该算法依赖于最近发表的观察结果,即即使在滑动时,多足机器人也主要是运动学的,并采用摩擦定律解析,使我们能够计算形状变化与身体速度的联系以及脚部接触力。因此,我们能够模拟大量接触的运动计划,每种接触都有可能发生滑动。此外,在均质环境中,这种模拟可以在规划时间范围的(并行)对数时间内运行。
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