Path planning based on genetic algorithms and artificial potential field
Guoqing Shi · Modern Electronics Technique · 2012
The path planning for the mobile robot under dynamic environment was researched with a new method,in which the genetic algorithms and improved artificial potential field were combined to get optimal global path suitable for mobile robots.An optimal or vice-optimal global path is planned with the genetic algorithms,and then the path is optimized by using the method of the improved artificial potential field,so that the robot can move smoothly along the path without collision of obstacles.This method makes full use of advantages of genetic algorithms and artificial potential field.The simulation results prove that this method is effective and feasible.