Re-formation of mobile robots using genetic algorithm and reinforcement learning

Formation of multiple robots is received much attention in multi robot system. This paper deals with a switching algorithm between GA (genetic algorithm)-based formation control and RL (reinforcement learning)-based obstacle avoidance for re-establishing the formation in multi-robot system in an environment with obstacles. Each robot implements the switching algorithm and can switch between formation control and obstacle avoidance.