The quality and eficiency of calculation is the two puzzling problems in the tradi— tional algorithm for the robot path planning．In this paper，a new method of obstacle avoidance and path planning based on neural network and particle swarm optimization is proposed．In this method，a neural network is used to realize substantive parallel and distributed compu— ting．And also this exerts the merit of PSO，which improves the computational eficiency and reliability．As it is proved by analysis and test，that a better result is obtained by the pro— posed algorithm．

基于神经网络和粒子群算法的移动机器人路径规划.pdf

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