RESEARCH ON STRATEGY OF ROBOT SOCCER GAME BASED ON OPPONENT INFORMATION

摘要：

The decision-making subsystem is the kernel part of the Robot-Soccer System. By analyzing the strategy of role assignment of robot soccer, the paper has designed a function expression to valuate the capability of controlling the ball of the team-members. After that, a cooperating strategy based on opponent information is proposed, which can assist the shooter much better, avoid obstacle more successfully and destroy opponent attack much more availably. Furthermore, the strategy can enhance the team-members flexibility and competitive efficiency. Finally, the simulation researches are given to demonstrate that the strategy is feasible and effective.

关键词： Multi-agent robot soccer opponent information cooperating decision-making

作者: XIAO-JUN ZHAO JING-TAO ZHANG WEI-JIE LI YUN-FEI LI

作者单位: Robot Research Center, College of Electronic and Information Engineering, Hebei University, Baoding 071002, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 230-234

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）