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Topology-Driven Anti-Entanglement Control for Soft Robots

A topology-driven Multi-Agent Reinforcement Learning (TD-MARL) framework to coordinate multi-robot systems to avoid entanglement is proposed and the full simulation experiments show that the method is better than the current advanced deep reinforcement learning (DRL) method in terms of convergence and anti-winding effe...

H. Le, Sheng-Xuan Wang, Mo Chen et al. · 0 citations

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