Research on the Path Planning Methods for Mobile Robots Based on an Improved Genetic Algorithm

Abstract

Path planning is the kernel problem of the robot technology area.The paper presents a solution to the path planning problem of robots based on the genetic algorithm.In the design of genetic operators,a self adaptation method is also used to make the algorithm more perfect.Therefore,it solves the problem of being not able to reach the target because of being trapped in the local minimum.Finally,path planning is simulated at a simulated environment.It is proved that the algorithm is valid.