Presentation 2019-01-26
Operation control by Multi-Robot using PSO
Ken Nishimura, Tomohiro Ohno, Yasushi Kanbayashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper implements an agent system developed in C ++ on the airframe and controls the operation. It was shown that agent system was developed in C ++ and suitable for search using PSO on simulator. However, because it is a result on the simulator, the effectiveness of the search in reality is unknown. In this research, we construct the system to implement the developed agent system and perform the operation experiment. Operation control similar to search using PSO. We manufacture the machine that performs the operation and perform the operation experiment.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Agent System / Particle Swarm Optimization / Multi-Robot
Paper # KBSE2018-42
Date of Issue 2019-01-19 (KBSE)

Conference Information
Committee KBSE
Conference Date 2019/1/26(1days)
Place (in Japanese) (See Japanese page)
Place (in English) NII
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Fumihiro Kumeno(Nippon Inst. of Tech.)
Vice Chair Hiroyuki Nakagawa(Osaka Univ.)
Secretary Hiroyuki Nakagawa(NTT)
Assistant Ryuichi Takahashi(Ibaraki Univ.) / Yoshinori Tanabe(Tsurumi Univ.)

Paper Information
Registration To Technical Committee on Knowledge-Based Software Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Operation control by Multi-Robot using PSO
Sub Title (in English)
Keyword(1) Agent System
Keyword(2) Particle Swarm Optimization
Keyword(3) Multi-Robot
1st Author's Name Ken Nishimura
1st Author's Affiliation Nippon Institute of Technology(NIT)
2nd Author's Name Tomohiro Ohno
2nd Author's Affiliation Nippon Institute of Technology(NIT)
3rd Author's Name Yasushi Kanbayashi
3rd Author's Affiliation Nippon Institute of Technology(NIT)
Date 2019-01-26
Paper # KBSE2018-42
Volume (vol) vol.118
Number (no) KBSE-425
Page pp.pp.1-3(KBSE),
#Pages 3
Date of Issue 2019-01-19 (KBSE)