A Method for Path Planning of Mobile Robot Accounting for Uncertainty

This paper presented a method for path planning of lunar rover. This method planned path using a knowledge based genetic algorithm accounting for uncertainty of modeling and sensor data. This method overcomes the invalid problem of past methods in complicated rough terrain to plan path. Simulation results show the feasibility and effectiveness of the algorithm in path planning for mobile robot.