Unknown Environment Based on Fuzzy Neural Network of Robot Path Planning

Abstract

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.