Path Planning of Mobile Robot Based on Neural Network and Genetic Algorithm

Abstract

A method of path planning based on neural network and genetic algorithm is proposed.The Neural-Network(NN) model is used for depicting the information of environment around the robot,and then the output of the NN model is used to construct the fitness function of the genetic algorithm,which is used to optimize the path.In the genetic algorithm,the two-dimensional coding for the via-points of path is converted to one-dimensional one.The simulation result shows that the proposed method is correct and efficient.