基于模糊评判的机器人足球比赛策略研究

Cooperation strategy for robot soccer based on defuzzification

针对机器人足球比赛环境的动态性和不确定性,提出了一种基于模糊决策算法的决策方法,给出了该算法的应用条件以及算法的实现过程,球队的队形以及机器人队员的角色都能根据现场情况,进行动态切换.该方法不要求建立精确的数学模型,能够考虑多方面因素,实时性高、决策效果好.计算机仿真验证了该算法的可行性和正确性.

Based 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 that the strategy can well enhance the system's real-time properties and the effective cooperation of each robot.