Strategies for Shooting based on Fuzzy Logic and Artificial Potential Field in Robot Soccer Systems

摘要：

Goal scoring is the main objective of the robot soccer game. This paper presents strategies of shooting for robot soccer systems. Using an algorithm based on fuzzy logic, we employ an arbiter to identify the most suitable shooter in a soccer team when attacking. We also propose an algorithm based on artificial potential field to plan an appropriate path for the chosen shooter. In the games, the team based on these strategies showed significantly good performances in shooting action.

关键词： robot soccer role assignment shooting action fuzzy logi artificial potential field

作者: Yinping Hang Zhiyong Tang Pei Zhongcai

作者单位: School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100191, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 399-403

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）