Presentation 2004/3/8
COORDINATIVE CONTROL OF MULTI-ROBOT SYSTEM BY MEANS OF SOFTWARE PLATFORM OF AGENTS AND KNOWLEDGE MANAGEMENT
Tao Zhang, Vuthichai Ampornaramveth, Pattara Kiatisevi, MD Hasanuzzaman, Haruki Ueno,
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Abstract(in English) This paper presents a coordinative control approach of multi-robot system by means of Software Platform of Agents and Knowledge Management (SPAK). The multi-robot system discussed in this paper is comprised of different types of robots. In order to realize coordinative control of multi-robot system, features of robots are described by frame-based knowledge representation and multi-robot system is defined in SPAK. With the schedule of robots behaviors in SPAK, coordinative control of multi-robot system can be carried out. In this paper, an actual multi-robot system is constructed and its coordinative control is implemented. Such kind of multi-robot system can be possibly adopted to build a symbiotic human-robot system in the future.
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Keyword(in English) Coordinative control / Multi-robot system / Software platform
Paper # KBSE2003-51
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Committee KBSE
Conference Date 2004/3/8(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) COORDINATIVE CONTROL OF MULTI-ROBOT SYSTEM BY MEANS OF SOFTWARE PLATFORM OF AGENTS AND KNOWLEDGE MANAGEMENT
Sub Title (in English)
Keyword(1) Coordinative control
Keyword(2) Multi-robot system
Keyword(3) Software platform
1st Author's Name Tao Zhang
1st Author's Affiliation Intelligent Systems Research Division, National Institute of Informatics()
2nd Author's Name Vuthichai Ampornaramveth
2nd Author's Affiliation Intelligent Systems Research Division, National Institute of Informatics
3rd Author's Name Pattara Kiatisevi
3rd Author's Affiliation Graduate University for Advanced Studies, National Institute of Informatics
4th Author's Name MD Hasanuzzaman
4th Author's Affiliation Graduate University for Advanced Studies, National Institute of Informatics
5th Author's Name Haruki Ueno
5th Author's Affiliation Intelligent Systems Research Division, National Institute of Informatics
Date 2004/3/8
Paper # KBSE2003-51
Volume (vol) vol.103
Number (no) 709
Page pp.pp.-
#Pages 5
Date of Issue