Unknown Environment Based on Fuzzy Neural Network of Robot Path Planning

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 simulation proves a fuzzy neural network in mobile robot path choice of intelligence.