most citedAdaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.RO2019★ 2 cited

Adaptive Leader-Follower Formation Control and Obstacle Avoidance via Deep Reinforcement Learning

Yanlin Zhou, Fan Lu, George Pu +5

We propose a deep reinforcement learning (DRL) methodology for the tracking, obstacle avoidance, and formation control of nonholonomic robots. By separating vision-based control in…