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Control of AGVs in Decentralized Autonomous FMS Based on a Mind Model

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Agent and Multi-Agent Systems. Technologies and Applications (KES-AMSTA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7327))

Abstract

This paper describes a system that can efficiently control the motion of automated guided vehicles (AGVs) in decentralized autonomous flexible manufacturing systems (DA-FMS). In particular, a mind model called the minimum unit of the mind (MUM) is proposed. Because of the change of mind characteristic of MUM, the AGVs can efficiently avoid route interferences even when many AGVs are operating in DA-FMS. The components of MUM are two stimulation cells, a box, and an arrow. Using application simulations, it is ascertained that MUM is effective for avoiding AGV route interferences.

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References

  1. Coulouris, G., Dollimore, J., Kindberg, T.: Distributed Systems Concepts and Design. Addison-Wesley, Wokingham (2001)

    Google Scholar 

  2. Mori, K., Shiibashi, A.: Trend of Autonomous Decentralized System Technologies and Their Application in IC Card Ticket System. IEICE Transactions on Communications E92.B(2), 445–460 (2009)

    Article  Google Scholar 

  3. Yamamoto, H., Marui, E.: Decentralized Autonomous FMS Control by Hypothetical Reasoning Including Discrete Simulator. In: Monostori, L., Váncza, J., Ali, M. (eds.) IEA/AIE 2001. LNCS (LNAI), vol. 2070, pp. 571–581. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  4. Yamamoto, H., Rizauddin, B.R.: Real-time Decision Making of Agents to Realize Decentralized Autonomous FMS by Anticipation. International Journal of Computer Science and Network Security 6(12), 7–17 (2006)

    Google Scholar 

  5. Yamamoto, H., Qudeiri, J.A., Jamali, M.A.J.: Real-Time Control of Decentralized Autonomous Flexible Manufacturing Systems by Using Memory and Oblivion. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006, Part I. LNCS (LNAI), vol. 4251, pp. 252–259. Springer, Heidelberg (2006) ISBN 978-3-540-46535-5

    Chapter  Google Scholar 

  6. Yamamoto, H., Yamada, T.: Cooperation of AGVs’ Head-on Collision Avoidance by Knowledge Exchange in Autonomous Decentralized FMS. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds.) KES 2010, Part I. LNCS, vol. 6276, pp. 158–167. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Nakajima, H., et al.: Social Intelligence in a Human-Machine Collaboration System. Transactions of the Japanese Society for Artificial Intelligence 19(3), 184–196 (2004)

    Article  Google Scholar 

  8. Rumelhart, D.E.: The Architecture of Mind: A Connectionist Approach. In: Mind Design II, pp. 204–232. The MIT Press (1997)

    Google Scholar 

  9. Krishnamurthy, N.N., et al.: Developing Conflict-Free Routes for Automated Guided Vehicles. Operations Research 41(6), 1077–1090 (1993)

    Article  MATH  Google Scholar 

  10. Hohzaki, R., et al.: Heuristic Methods for Determining Interference-Free Routes of Automated Guided Vehicles. The Journal of the Japan Society of Mechanical Engineers 57(537), 1763–1769 (1991)

    Article  Google Scholar 

  11. Watanabe, M., et al.: Acquisition of a Communication Protocol for Autonomous Multi-AGV Driving. In: The Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials, vol. 2, pp. 1115–1121 (1999)

    Google Scholar 

  12. Furukawa, M., et al.: Collision Avoidance with a Moving Object Based on Q-Learning. The Journal of the Japan Society of Mechanical Engineers 69(680), 1051–1057 (2003)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Yamamoto, H., Yamada, T. (2012). Control of AGVs in Decentralized Autonomous FMS Based on a Mind Model. In: Jezic, G., Kusek, M., Nguyen, NT., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems. Technologies and Applications. KES-AMSTA 2012. Lecture Notes in Computer Science(), vol 7327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30947-2_22

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  • DOI: https://doi.org/10.1007/978-3-642-30947-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30946-5

  • Online ISBN: 978-3-642-30947-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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