A Path Planning Algorithm for Mobile Robot Based on Combined Fuzzy and Artificial Potential Field

摘要：

This paper proposes an algorithm which combined fuzzy and Artificial Potential Field (APF), it plans the robots partial path of the overall path in the map. It has the easily computed advantage as well as the Artificial Potential Field. It is almost real-time and gives a good resolution towards the problem of partial polar value and that the robot can not reach the goal point (GNRON). The effectiveness of this method is verified by simulation results.

关键词： Fuzzy Artificial Potential Field Partial polar value, GNRON, Path planning

作者: TIAN Jingwen ZHOU Hao GAO Meijuan LI Kai

作者单位: Department of Automatic Control, Beijing Union University;School of Information Science, Beijing Uni School of Information Science, Beijing University of Chemical Technology Beijing, China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 55-58

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）