Optimization-Based Quadrupedal Hybrid Wheeled-Legged Locomotion

Italo Belli, Matteo Parigi Polverini, Arturo Laurenzi, E. Hoffman, P. Rocco, N. Tsagarakis
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引用次数: 4

Abstract

This paper presents a trajectory optimization approach to the motion generation problem of hybrid locomotion strategies for a wheeled-legged quadrupedal robot with steerable wheels. To this end, traditional Single Rigid Body Dynamics has been employed and extended by adding a unicycle model for each leg, conveniently incorporating the nonholonomic rolling constraints. The proposed approach can generate hybrid locomotion strategies as well as pure driving and legged locomotion with minimum effort for the user. The effectiveness of the proposed approach has been experimentally validated on the humanoid quadruped CENTAURO, employing a hierarchical inverse kinematics engine to track the planned motions.
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基于优化的四足轮腿混合运动
针对具有舵轮的轮腿四足机器人混合运动策略生成问题,提出了一种轨迹优化方法。为此,采用了传统的单刚体动力学,并对其进行了扩展,为每条腿添加了独轮车模型,方便地纳入了非完整滚动约束。所提出的方法可以产生混合运动策略,以及纯驱动和腿的运动,用户的努力最小。该方法的有效性已在人形四足机器人CENTAURO上得到了实验验证,该方法采用了一种分层逆运动学引擎来跟踪计划运动。
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