本文研究环境已知条件下的移动机器人路径规划问题。提出了一种基于人工神经网络的路径规划算法。所提算法可以规划出折线型的最短路径 ,并且计算简单、收敛速度快。将所提算法应用于机器人“Khepera” ,通过模拟实验 ,表明所提算法有效 This paper studies the path planning of mobile robots under the condition of known environment. A path planning algorithm based on artificial neural network is proposed. The proposed algorithm can calculate the shortest path of the broken line type, and the calculation is simple and the convergence speed is fast. The proposed algorithm is applied to the robot “Khepera”, through the simulation experiments show that the proposed algorithm is valid