In order to make full use of the multiple sensor information, the different behavior strategies with different priorities are set up. Behaviors with higher-priorities can subsume or inhibit the behavior with lower priority by suppressing their outputs, which makes the robot generate an optimization strategy to deal with the dynamic, complex and unstructured environments. However, the behavior of lower priority continues to function as higher priority behaviors are added. Experimental results show the efficiency of the proposed method.

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