DocumentCode
1861968
Title
A new cooperative multi-robot path planning in dynamic environment
Author
Xiao Guo-bao ; Yan, Xuan-hui
Author_Institution
School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, 350007, China
fYear
2012
fDate
3-5 March 2012
Firstpage
159
Lastpage
165
Abstract
Dynamic path planning is a fundamental and difficult problem in mobile robotics. This paper presents a new approach of multi-robot path planning in dynamic environments, by using cooperative co-evolution and APF algorithm. The key ideal of our approach is to combine with global and local path planning, and to make fully use of centralized and distributed approach via information fusion mechanism. The proposed approach has been simulated in the TeamBots (a popular tool of multi-robot simulation). The results of dynamic simulation show the efficiency of the algorithm.
Keywords
artificial potential field; co-evolution; dynamic environment; multi-robot path planning;
fLanguage
English
Publisher
iet
Conference_Titel
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location
Xiamen
Electronic_ISBN
978-1-84919-537-9
Type
conf
DOI
10.1049/cp.2012.0944
Filename
6492551
Link To Document