Path Planning of Mobile Robot Based on Q-learning Algorithm under Coal Mine
Shuai Wang · Modern Electronics Technique · 2008
Path planning of robot is still a difficult question in the robot research domain.Q-learning algorithm is used to realize local path planning of mobile robot under coal mine for environment uncertainty of coal mine,because it is difficult to obtain a good path in such a complex enivronment.Instant rewards in the function are modified by using weight,then the information of environment characteristics is used effectively to avoid the obstacles.At last the algorithm is simulated by using VC++.Simulation shows that this algorithm is efficient and feasible.