Table of Contents Author Guidelines Submit a Manuscript
Journal of Control Science and Engineering
Volume 2009, Article ID 896310, 10 pages
Research Article

AIN-Based Action Selection Mechanism for Soccer Robot Systems

Department of Mechanical and Electro-Mechanical Engineering, Tamkang University, 151 Ying-Chuan Road, Tamsui, Taipei Hsien 25137, Taiwan

Received 10 May 2008; Revised 18 January 2009; Accepted 12 February 2009

Academic Editor: Benoit Boulet

Copyright © 2009 Yin-Tien Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. I. K. Sethi, “Entropy nets: from decision trees to neural networks,” Proceedings of the IEEE, vol. 78, no. 10, pp. 1605–1613, 1990. View at Publisher · View at Google Scholar
  2. C.-C. Liang, Development of a multiple-soccer-robot system, Ph.D. dissertation, Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan, 2000.
  3. H.-P. Huang and C.-C. Liang, “Strategy-based decision making of a soccer robot system using a real-time self-organizing fuzzy decision tree,” Fuzzy Sets and Systems, vol. 127, no. 1, pp. 49–64, 2002. View at Publisher · View at Google Scholar
  4. C.-H. Liu, Tactic design and formation control for 5-on-5 soccer robot systems, M.S. thesis, Department of Mechanical and Electrical Engineering, Tamkang University, Taipei, Taiwan, 2003.
  5. T.-Y. Tsou, C.-H. Liu, and Y.-T. Wang, “Term formation control for soccer robot systems,” in Proceeding of IEEE International Conference on Networking, Sensing and Control, vol. 2, pp. 1121–1125, Taipei, Taiwan, March 2004. View at Publisher · View at Google Scholar
  6. J. D. Farmer, N. H. Packard, and A. S. Perelson, “The immune system, adaptation, and machine learning,” Physica D, vol. 22, no. 1–3, pp. 187–204, 1986. View at Publisher · View at Google Scholar
  7. Y. Ishida, Immunity-Based Systems, Springer, Berlin, Germany, 2004.
  8. I. Roitt, J. Brostoff, and D. Male, Immunology, Mosby International, London, UK, 1998.
  9. N. K. Jerne, “The immune system,” Scientific American, vol. 229, no. 1, pp. 52–60, 1973. View at Google Scholar
  10. A. Sanchis, P. Isasi, J. M. Molina, and J. Segovia, “Applying classifier systems to learn the reactions in mobile robots,” International Journal of Systems Science, vol. 32, no. 2, pp. 237–258, 2001. View at Publisher · View at Google Scholar
  11. L. N. de Castro and F. J. Von Zuben, “Learning and optimization using the clonal selection principle,” IEEE Transactions on Evolutionary Computation, vol. 6, no. 3, pp. 239–251, 2002. View at Publisher · View at Google Scholar
  12. G.-C. Luh and W.-C. Cheng, “Behavior-based intelligent mobile robot using an immunized reinforcement adaptive learning mechanism,” Advanced Engineering Informatics, vol. 16, no. 2, pp. 85–98, 2002. View at Publisher · View at Google Scholar
  13. R. Y. Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses,” IEEE Journal of Robotics and Automation, vol. 3, no. 4, pp. 323–344, 1987. View at Publisher · View at Google Scholar
  14. Z. Zhang, “A flexible new technique for camera calibration,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330–1334, 2000. View at Publisher · View at Google Scholar
  15. “FIRA,” April 2008,