DocumentCode :
2704978
Title :
Research on map merging for multi-robotic system based on RTM
Author :
Ke Wang ; Songmin Jia ; Yuchen Li ; Xiuzhi Li ; Bing Guo
Author_Institution :
Coll. of Electron. Inf. & Control Eng, Beijing Univ. of Technol., Beijing, China
fYear :
2012
fDate :
6-8 June 2012
Firstpage :
156
Lastpage :
161
Abstract :
Multi-robotic system is widely used in exploring in large-scale unknown environment and performing the complex tasks. This paper presents a method of local map merging for Multi-robotic system using RTM as communication platform. We integrate Scale-Invariant Feature Transform (SIFT) feature matching information with iterative closest point (ICP) algorithm to realize the local map merging. We use the USARSim as simulation platform to realize topological map and map merging for the environment in which mobile robots moving using the proposed method. The paper details the architecture of the proposed method and gives some experiments to verify the effectiveness.
Keywords :
SLAM (robots); control engineering computing; feature extraction; image matching; iterative methods; middleware; mobile robots; multi-robot systems; robot vision; transforms; ICP; RTM; SIFT; USARSim; iterative closest point algorithm; local map merging method; mobile robots; multirobotic system; robot technology middleware; scale-invariant feature transform feature matching information; topological map; Feature extraction; Merging; Mobile robots; Path planning; Robot sensing systems; Topology; ICP; Multi-robotic system; RTM; SIFT; map merging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2012 International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4673-2238-6
Electronic_ISBN :
978-1-4673-2236-2
Type :
conf
DOI :
10.1109/ICInfA.2012.6246800
Filename :
6246800
Link To Document :
بازگشت