Simulation of path planning for mobile robot in dynamic environment based on genetic algorithm

Abstract

In dynamic environment, the path planning of mobile robot is a problem difficultly to solve. A path planning method for mobile robot based on genetic algorithm is put forward. This method makes use of real number coding and adaptive function with definite physical meaning in the dynamic environment so as to accelerate real-time calculation and improve calculation precision. The simulation result shows that the method has good dynamic path planning ability.