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Heuristic Approach of a Distributed Autonomous Guidance System to Adapt to the Dynamic Environment

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Book cover Distributed Autonomous Robotic Systems 5

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Abstract

In this paper, we built a device and algorithm for distributed autonomous guidance system (DAGS). In this system, autonomous mobile robots construct guidance information structure by means of an Intelligent Data Carrier (IDC). We make models of dynamic environments, and investigate the behaviors of autonomous robots guided by DAGS. We create an algorithm that estimates the validity of knowledge in an IDC and allows the IDC to renew the knowledge autonomously. We verify effectiveness of the proposed algorithm by means of simulations.

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References

  1. A. Drogoul, J. Feber. (1992) From Tom Thumb to the Dockers: Some Experiments with Foraging Robots, From Animals to Animats 2, 451–459.

    Google Scholar 

  2. T. Fujii, H. Asama, T. Numers, T. Fujita, H. Kaetsu, I. Endo. (1996) Co-evolution of a Multiple Autonomous Robot System and its Working Environment via Intelligent Local Information Storage, Robotics and Autonomous Systems, Elsevier, 19, 1–13.

    Google Scholar 

  3. D. Kurabayshi, H. Asama. (2000) Knowledge Sharing and Cooperation of Autonomous Robots by Intelligent Data Carrier System, Proceedings of IEEE Int. Conf. on Robotics and Automation, 464–469.

    Google Scholar 

  4. D. Kurabayashi, H. Asama, K. Noda, I. Endo, H. Hashimoto. (2001) Information Assistance in Rescue using Intelligent Data Carriers, Proceedings of IEEE/RSJ Int. Conf. Intel. Robots and Systems, 2294–2299.

    Google Scholar 

  5. D. Kurabayashi, K. Konishi, H. Asama. (2000) Performance Evaluation of Autonomous Knowledge Acquisition and Sharing by Intelligent Data Carriers, Distributed Autonomous Robotic Systems 4, Springer, 69–78.

    Article  Google Scholar 

  6. I. Paromtchik, D. Kurabayashi, H. Asama. (2001) Approach Global and Local Guidance of Multiple Mobile Robots, Proceedings of Intel. Autonomous Vehicles, 350–355.

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  7. Y. Yoshimura, J. Ota, K. Inoue, D. Kurabayashi, T. Arai. (1996) Iterative Transportation Planning of Multiple Objects by Cooperative Mobile Robots, Distributed Autonomous Robotics Systems 2, Springer, 171–182.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan

    Daisuke Kurabayashi

  2. The Institute of Physical and Chemical Research, 2-1 Hirosawa, Wako-shi, Saitama, 351-0198, Japan

    Hajime Asama

Authors
  1. Daisuke Kurabayashi
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  2. Hajime Asama
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Editor information

Editors and Affiliations

  1. Advanced Engineering Center, RIKEN (The Institute of Physical and Chemical Research), 2-1 Hirosawa, 351-0198, Wako-shi, Saitama, Japan

    Hajime Asama (Head of Instrumentation Project Promotion Division) (Head of Instrumentation Project Promotion Division)

  2. Department of Precision Machinery Engineering, The Unviersity of Tokyo, 7-3-1 Hongo, 113-8656, Bunkyo-ku, Tokyo, Japan

    Tamio Arai (Professor) (Professor)

  3. Department of Micro System Engineering, Nagoya University, 464-8603, Furo-cho, Chikusa-ku, Nagoya, Japan

    Toshio Fukuda (Professor) (Professor)

  4. Department of Intelligent Systems Graduate School of Information and Electrical Engineering, Kyushu University, 6-10-1 Hakozaki, 812-8581, Higaschi-ku, Fukuoka, Japan

    Tsutomu Hasegawa (Professor) (Professor)

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© 2002 Springer-Verlag Tokyo

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Kurabayashi, D., Asama, H. (2002). Heuristic Approach of a Distributed Autonomous Guidance System to Adapt to the Dynamic Environment. In: Asama, H., Arai, T., Fukuda, T., Hasegawa, T. (eds) Distributed Autonomous Robotic Systems 5. Springer, Tokyo. https://doi.org/10.1007/978-4-431-65941-9_36

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  • DOI: https://doi.org/10.1007/978-4-431-65941-9_36

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-65943-3

  • Online ISBN: 978-4-431-65941-9

  • eBook Packages: Springer Book Archive

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