استراتژی همکاری برای تیراندازی در مسابقه فوتبال ربات بر اساس درخت چند فرضیه ای

In the robot soccer competition, robots are intellective and traditional shooting strategy is simple for merely controlling one robot dribbling ball lack of cooperation. According to the behavior process for multi-agent system, sense-decision-action, the cooperation strategy for shooting based on multi-suppose tree is presented, which obtains some suppose sequences and finds out an effectual shooting path with less account when the robot dribbling ball is interrupted by opponents or can’t kick a goal. The method to implement cooperation strategy for shooting in the robot soccer competition is also an important reference to cooperation strategy of multi-agent system.

In the robot soccer competition, robots are intellective and traditional shooting strategy is simple for merely controlling one robot dribbling ball lack of cooperation. According to the behavior process for multi-agent system, sense-decision-action, the cooperation strategy for shooting based on multi-suppose tree is presented, which obtains some suppose sequences and finds out an effectual shooting path with less account when the robot dribbling ball is interrupted by opponents or can’t kick a goal. The method to implement cooperation strategy for shooting in the robot soccer competition is also an important reference to cooperation strategy of multi-agent system.

The robot soccer competition is another milestone for artificial intelligence following the computer chess, which combines some new technology in different areas, such as the real-time vision system, robot control, wireless communication, and multi-robot control. One Agent behaves simply, while some intellective robots in reciprocal influence may accomplish more complicated missions with cooperation strategy, which is a standard test-bed for studying multi-agent system[1-3]. The traditional shooting strategy is simple for merely controlling one robot dribbling ball lack of cooperation[4-6].