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.