Title
An Approach to Cooperative Multi-Robot Map Building in Complex Environments
Abstract
A novel approach to multi-robot cooperative map-building in complex environments is presented in this paper. The approach lets all robots operate individually and then tries to merge the different local grid maps into a single global one. Without using any pose information of the robots, the process of map merging is performed by measuring the similarity between grid maps. A distance transform and an improved genetic algorithm are used to effectively search the maximum overlap at which the local maps can be joined together. Experimental results show the feasibility and effectiveness of our approach in complex environments.
Year
DOI
Venue
2008
null
Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition)
Keywords
Field
DocType
local map,cooperative map-building,cooperative multi robot map building,different local grid map,complex environments,mobile robots,multi-robot systems,cooperative multi-robot map building,map merging process,search problems,improved genetic algorithm,complex environment,map building,genetic algorithm,distance transform,genetic algorithms,grid map,mobile robot,maximum overlap search process,local grid map,novel approach,multi-robot,robots,accuracy,encoding
Distance measurement,Computer science,Distance transform,Artificial intelligence,Robot,Merge (version control),Genetic algorithm,Mobile robot,Grid,Encoding (memory)
Conference
Volume
Issue
ISSN
42
1
null
ISBN
Citations 
PageRank 
978-0-7695-3398-8
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Wei Pan100.68
Zixing Cai2152566.96
Limei Liu300.34
Baifan Chen495.92