Cooperation strategy for robot soccer based on defuzzification

Base on fuzzy decision algorithm, a multi-agents cooperation strategy for the soccer robot is presented to overcome the difficulty in establishing a precise model for the decision-making subsystem of robot in the case, when robot player is in dynamic environment, and the applied condition and computing course are given. The battle formation and the role of each robot can be changed dynamically depending on the current situation, Experimental result shows the strategy can well enhance the system's real-time properties and the effective cooperation of each robot.