Abstract：This paper presents a global path-planning algorithm of mobile robot under uncertain environment. Global path planning is divided into local path-planning combinations. In order to enhance planning efficiency,case based learning method is applied. ART-2 neural network is used to realize the cases match,learning and increasing. The need of time is met. The algorithm's efficiency is proved by the simulation results.
[1] Khatib O.Real-time Abstract Avoidance for Manipulators and Mobile Robots in Proc.IEEE Int Conf.On Robotics and Automation,March 25-38,1985,500-505,also in Int J Robot Res,1986,5(1):90-98 [2] Warren C W.Global Path Planning Using Artificial Potential Fields.In Proc 1989 IEEE Int Conf Robot and Automation (Scottsdale,AZ),1989:316-321 [3] Warren C C.A Technique for Autonomous under Water Vehicle Route Planning.In IEEE J Oceanic Eng,1990,15(3):199-204 [4] Moravec H P.Sensor Fusion in Certainty Grids for Mobile Robots.AI Magazine,Summer 1988:61-74 [5] Elfes A.Sonar-based Real-world Mapping and Navigation.IEEE journal of Robotics and Automation,1987,RA-3(3):249-265 [6] Moravec H P,Elfes A.High Resolution Maps from Wide Anglseonar.IEEE Conf on Robotics and Automation.1987,RA-3(3):249-265 [7] Koren Y,Borenstrinj.Potential Field Methods and Their Inherent Limitations for Mobile Robot Navigation.Proc of IEEE Int Conf on Robotics and Automation,April,1991:1398-1404 [8] Borenstein J,Koren Y.The Vector Field Histograms-fast Obstacle Avoidance for Mobile Robots.IEEE Trans on Robotics and Automation,1991,7(3):278-288 [9] Borenstein J,Koren Y.Real-time Obstacle Avoidance for Fast Mobile Robots.IEEE Trans Syst Man Cybernet.1989,19(5):1179-1187 [10] Borenstein J,Koren Y.Real-time Obstacle Avoidance for Fast Mobile Robot in Cluttered Environments.1990 IEEE International Conference on Robotics and Automation,Cincinnati,Ohio,1990:527-577 [11] 马兆青,袁曾任.基于栅格方法的移动机器人实时导航和避障.机器人,1996,18(6):344-348 [12] Zhaoqing Ma,Zengren Yuan.Real-time Navigation and Obstacle Avoidance Based on Grids Method for Fast Mobile Robot.Eng Applic Artif Intell,1995,8(1):572-577 [13] 尚游,徐玉如,庞永杰.自主式水下机器人全局路径规划的基于案例的学习算法研究.机器人,1998,20(6):427-432 [14] 袁曾任,人工神经元网络及其应用.清华大学出版社,1999 [15] G A Carpenter,S Grossberg.ART-2:Self-organization of stable category Recognition codes for analog input patterns.Applied Optics,1987,26:4919-4930
