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…