Optimized Formation Control for Motor Schema-based Multiple Mobile Robots

Four primitive behaviors called move-to-goal, keep-formation, avoid-static-obstacle and avoid-robot behaviors are introduced for the optimized formation control task. Motor Schema-based architecture is adopted by individual robot in order to achieve the decision making of behaviors. The genetic algorithm is used to optimize the parameters that achieve the combination of the behaviors. The simulation shows the feasibility of the proposed approach.