文献类型：会议论文

英文题名：A path planning algorithm for mobile robot based on combined fuzzy and Artificial Potential Field

作者：Tian Jingwen; Zhou Ha; Gao Meijuan; Li Kai

通讯作者：Tian, JW[1]

机构：[1]Beijing Union Univ, Dept Automat Control, Beijing, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Dept Automat Control, Beijing, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：2nd International Conference on Computer Science and Education

会议日期：JUL 25-27, 2007

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：fuzzy; Artificial Potential Field; partial polar value; GNRON; path planning

摘要：This paper proposes an algorithm which combined fuzzy and Artificial Potential Field (APF), it plans the robot's 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.