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222    S. Pr¨uter et al.
                           self-adaptive control architectures. Another important aspect will be the
                           development of complex controllers which could fit into the low computational
                           resources provided by the robot’s onboard hardware.



                           Acknowledgements

                           The authors gratefully thank Thorsten Schulz, Guido Moritz, Christian
                           Fabian and Mirko Gerber for helping with all the very time consuming practi-
                           cal time-consuming experiments. Special thanks are due to Prof. Timmermann
                           and Dr. Golatowski for their continuous support.



                           References

                            1. http://www.robocup.org
                            2. A. Gloye, M. Simon, A. Egorova, F. Wiesel, O. Tenchio, M. Schreiber, S. Behnke,
                               and R. Rojas: Predicting away robot control latency, Technical Report B-08-03,
                               FU-Berlin, June 2003.
                            3. T. Kohonen: Self-Organizing Maps,Springer Series in Information Sciences, Vol.
                               30, Springer, Berlin, Heidelberg, New York, 1995, 1997, 2001. Third Extended
                               Edition, ISBN 3-540-67921-9, ISSN 0720-678X.
                            4. R. Rojas: Neural Networks - A Systematic Introduction, Springer-Verlag, Berlin,
                               1996.
                            5. Rosenblatt, Frank (1958), The Perceptron: A Probabilistic Model for Informa-
                               tion Storage and Organization in the Brain, Cornell Aeronautical Laboratory,
                               Psychological Review, v65, No. 6, pp. 386–408.
                            6. H. Ritter, K. Schulten: Convergence Properties of Kohonen’s Topology Con-
                               serving Maps, Biological Cybernetics, Vol. 60, pp 59, 1988
                            7. J.C. Russ, The Image Processing Handbook, Fourth Edition, CRC Press, 2002,
                               ISBN: 084931142X
                            8. K.J. Astrom, T. Hagglund, PID Controllers: Theory, Design, and Tuning, Inter-
                               national Society for Measurement and Con; 2nd edition, 1995
                            9. D. Rumelhart, J. Mccelland: Parallel Distributed Processing, MIT Press, 1986
                           10. D. Rumelhart: The basic ideas in neural net-works, Communications of the
                               ACM 37, 1994 86–92
                           11. Mohamad H. Hassoun, Fundamentals of artificial neural networks, MIT Press,
                               1995
                           12. Marvin L. Minsky and Seymour Papert, Perceptrons (expanded addition), MIT
                               Press, 1988
                           13. J.C. Alexander and J.H. Maddocks, “On the kinematics of wheeled mobile
                               robots” Autonomous Robot Vehicles, Springer Verlag, pp. 5–24, 1990.
                           14. Balakrishna, R., and Ghosal, A., “Two dimensional wheeled vehicle kinematics,”
                               IEEE Transaction on Robotics and Automation, vol.11, no.l, pp. 126–130, 1995
                           15. C.W. Zheng, M.Y. Ding, C.P. Zhou, “Cooperative Path Planning for Multiple
                               Air Vehicles Using a Co-evolutionary Algorithm”, Proceedings of International
                               Conference on Machine Learning and Cybernetics 2002, Beijing, 1:219–224.
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