The optimization of the application of fuzzy ant colony algorithm in soccer robot

摘要：

This article provides a theory which is based on the Fuzzy Ant Colony Optimization, and then uses this theory to design an optical speed for the football robots, and then we also apply Ant Colony Optimization to design its routes to avoid obstacles. Afterward, we add Generalized Predictive Control to predict the position which its target might appear at the next sampling time. Our main experiment platform is a simulation machine for FIRA five-to-five soccer robots and MATLAB SIMULATION.

作者: Juing-Shian Chiou Kuo-Yang Wang Ming-Yuan Shieh

作者单位: Department of Electrical Engineering,Southern Taiwan University,Tainan County,Taiwan,R.O.C.

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)

会议地点: 珠海、澳门

会议语种:英文

页码: 681-686

在线出版日期: 2009-06-22（万方平台首次上网日期，不代表论文的发表时间）