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

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3 Author(s)
F. Kobayashi ; Kobe Univ., Japan ; N. Tomita ; F. Kojima

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.

Published in:

SICE 2003 Annual Conference  (Volume:3 )

Date of Conference:

4-6 Aug. 2003