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Formation control of multiple robot fishes based on artificial potential field and leader-follower framework

机译:基于人工势场和领导者跟随框架的多机器人鱼编队控制

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Based on the artificial potential field, an approach is proposed for the formation control of multiple robot fishes, which overcomes the disadvantage that the collision avoidance is not satisfactorily solved in the leader-follower framework. In accessible areas, the formation of multiple robot fishes is maintained in the moving to target point by controlling the distance and angle between follower and leader. Under obstacle environment, robotic fish established expectations point to create artificial potential field by the order of priority. The simulation verifies the effectiveness of the method.
机译:在人工势场的基础上,提出了一种多机器人鱼群编队控制的方法,克服了领导者跟随框架不能很好地解决避免碰撞的缺点。在可及区域,通过控制跟随者与引导者之间的距离和角度,可以在到达目标点的过程中保持多条机器鱼的形成。在障碍物环境下,机器鱼确立了期望点,以便按优先级顺序创建人工势场。仿真验证了该方法的有效性。

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