Skip to main content
  • 985 Accesses

Abstract

This paper proposes a coevolutionary algorithm for acquiring cooperative behavior of soccer robots. Fuzzy control is applied to the control of the soccer robots as local behavior, while the target point generation is used for global behavior. Furthermore, a classifier system is applied for generating a target point for the global behavior in the current situation. We show simulation results of cooperative behavior acquisition of soccer robots.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

5 References

  1. D.B. Fogel (1995) Evolutionary Computation, IEEE Press

    Google Scholar 

  2. D.E. Goldberg (1989) Genetic Algorithms in Search, Optimization, and Machine Learning, Addison Welsey

    Google Scholar 

  3. Y. Davidor (1991) A genetic Algorithm Applied to Robot Trajectory Generation; Handbook of Genetic Algorithms, Van Nostrand Reinhold, pp. 144–165

    Google Scholar 

  4. N. Kubota and M. Mihara (2003) Multi-Objective Behavior Coordination of Multiple Robots Interacting with A Dynamic Environment, The IEEE International Conference on Fuzzy Systems, St. Louis, MO, USA

    Google Scholar 

  5. J.-S.R. Jang, C.-T. Sun E. Mizutani (1997) Neuro-Fuzzy and Soft Computing, Prentice-Hall, Inc

    Google Scholar 

  6. N. Kubota and S. Kamijima (2004) Evolutionary Perceptual System for A Vision-Based Mobile Robot, (CD-ROM) World Automation Congress, IFMIP-058

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kubota, N., Umeda, T. (2006). Coevolutionary Algorithm for Behavior Acquisition of Soccer Robots. In: Murase, K., Sekiyama, K., Naniwa, T., Kubota, N., Sitte, J. (eds) Proceedings of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2005). Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29344-2_23

Download citation

  • DOI: https://doi.org/10.1007/3-540-29344-2_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28496-3

  • Online ISBN: 978-3-540-29344-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics