DocumentCode
426097
Title
Tree formation multi-robot system for victim search in a devastated indoor space
Author
Matsuo, Yoshikazu ; Tamura, Yoshinobu
Author_Institution
Graduate Sch. of Sci. & Technol., Tokyo Inst. of Technol., Japan
Volume
2
fYear
2004
fDate
28 Sept.-2 Oct. 2004
Firstpage
1071
Abstract
A new scheme called "S3 RoboNet: self spreading search robot network" is proposed and described, which employs a multi-robot system to search for victims in a devastated indoor space such as inside of a collapsed building right after a large earthquake. In this scheme, numerous mobile robot agents form and expand a virtual network autonomously, in which the distance between every pair of adjacent node agents are kept within a limit so that they can keep locating each other. The network virtually composes a topological search map by itself and generates an artificial velocity potential in order to drive free agents towards unexplored regions and to make node agents spread links among them as far as possible. Thereby, the network spreads itself only by adding a new free or a node agent at the root of the tree located at the entrance of the space to be searched. The concepts and the algorithms of the present scheme are described and its feasibility and essential performance are analyzed by simulation, and both effectiveness and current problems are discussed.
Keywords
mobile robots; multi-robot systems; trees (mathematics); artificial velocity potential; devastated indoor space; earthquake victim searching; mobile robot agents; self spreading search robot network; topological search map; tree formation multi-robot system; virtual network; Birth disorders; Earthquakes; Fault tolerant systems; Intelligent networks; Large Hadron Collider; Mobile robots; Multirobot systems; Robustness; Safety; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
Print_ISBN
0-7803-8463-6
Type
conf
DOI
10.1109/IROS.2004.1389539
Filename
1389539
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