A path planning study of autonomous mobile robot in dynamic environment

In the dynamic environment, a path planning method of autonomous mobile robot based on fusing and genetic simulated annealing approach is introduced. In this paper, the accurate dynamic environment data is acquired firstly by building ultrasonic data predictive model and the method based on multisensor fusing. Finally, on the based of path planning by using genetic algorithms, forming a genetic simulated annealing approach by inducting simulated annealing approach to search the global optimal path.