Application of reinforcement learning in autonomous navigation for mobile robot

Abstract

The merit and shortcomming of common algorithms of autonomous navigation for mobile robot are introduced,based on which the reinforcement learning method is proposed.The principle of the reinforcement learning is described,the generalization problem is solved by neural network.The autonomous navigation for robot based on obstacle detection sensor is designed,the mathematical model for each element of learning algorithm is proposed.The correctness,reactiveness and the ability of generalization of the algorithm are verified by simulation tests.