A path planning study of autonomous mobile robot in dynamic environment

Author

Yanju, Liu ; Yundong, Cao ; Yanbin, Li ; Yu, Yang ; Wang, David ; Xin, Wang ; Jun, Yao

Author_Institution

Shenyang Ligong Univ., Shenyang

fYear

2008

fDate

3-5 June 2008

Firstpage

1040

Lastpage

1043

Abstract

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.

Keywords

genetic algorithms; mobile robots; path planning; predictive control; sensor fusion; simulated annealing; autonomous mobile robot; data fusing; dynamic environment; genetic algorithms; genetic simulated annealing approach; global optimal path; multisensor fusing; path planning study; ultrasonic data predictive model; Genetic algorithms; Mobile robots; Navigation; Neural networks; Optimal control; Optimization methods; Path planning; Predictive models; Simulated annealing; Ultrasonic transducers; data fusing; genetic algorithms; path planning; simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-1717-9

Electronic_ISBN

978-1-4244-1718-6

Type

conf

DOI

10.1109/ICIEA.2008.4582674

Filename

4582674