To enable the mobile robot in unknown environment obstacle—avoiding behavior of Success，based on the information input of obstacles and from the control of output data to find a obstacle—avoiding behavior model，and To create the fuzzy logic rules，a fuzzy control algorithm is introduced to the neural network，allowing mobile robot more rapid response ability and to achieve a robot， and finally reach the target of obstacle avoidance． system sim ulation proves a fuzzy neural network in mobile robot path choice of intelligence．

未知环境下基于模糊神经网络的机器人路径规划.pdf

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