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Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

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来源:arXiv cs.RO发布时间待核实

arXiv:2608.19977v1 Announce Type: new Abstract: Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating this behavior in quadrupedal robots has been a longstanding challenge. Here, we propose a hierarchical reinforcement learning pipeline that empowers the robots to perform aggressive locomotion through constrained obstacles--a narrow gate.

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space | 具身智能观察