Abstract
To improve the success rate of Soccer Robot Path Planning, artificial potential field is amended, autonomous potential field is presented to solve the path planning problem by analyzing shortcomings of the basic shooting algorithm, the autonomous potential field function centering on the soccer robot is constructed, and the robot’s movement in the new potential field is analyzed, the modified artificial potential field model and autonomous potential field model is contrasted, each vicinal potential energy of the modified artificial potential field model and autonomous potential field model is analyzed. The simulated results demonstrate that this method can optimize the path of a soccer robot, decrease the complexity, enhance the real time capability, perform the shooting action better, and improve the success rate of a soccer robot shooting a goal.
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