Dynamic task assignment of autonomous AGV system based on multi agent architecture

Muhammad Hafidz Fazli Bin Md Fauadi, Haowen Lin, Tomohiro Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Increasing number of worldwide researchers and practitioners within manufacturing industry had recognized the need for an organization to implement distributed manufacturing system to be flexible and adaptable to a more demanding and fluctuating market. This paper proposes distributed architecture to control Automated Guided Vehicle (AGV) operation in manufacturing industry based on multi- agent system (MAS). System and agent architectures had been designed to enable control the material handling activities. All agents are equipped with decision making capability to plan and execute their responsibilities autonomously or collectively when needed. Additionally, improvement had been made to FIPA Contract Net Protocol (CNP) to support dynamic attributes of AGV task assignment mechanism.

Original languageEnglish
Title of host publicationProceedings of the 2010 IEEE International Conference on Progress in Informatics and Computing, PIC 2010
Pages1151-1156
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 1st IEEE International Conference on Progress in Informatics and Computing, PIC 2010 - Shanghai, China
Duration: 2010 Dec 102010 Dec 12

Publication series

NameProceedings of the 2010 IEEE International Conference on Progress in Informatics and Computing, PIC 2010
Volume2

Conference

Conference2010 1st IEEE International Conference on Progress in Informatics and Computing, PIC 2010
Country/TerritoryChina
CityShanghai
Period10/12/1010/12/12

Keywords

  • Automated guided vehicle
  • Contract net protocol
  • Distributed artificial intelligence
  • Multi agent system

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

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