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Local Movement Control with Neural Networks in the Small Size League

  • Steffen Prüter
  • Ralf Salomon
  • Frank Golatowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4434)

Abstract

In the RoboCup small-size league, most teams calculate the robots’ positions by means of a camera that is mounted above the field as well as different kinds of artificial intelligence methods that run on an additional PC. This processing loop induces various time delays, which require forecasting routines, if more accurate behaviors are desired. This paper shows that by utilizing a combination of a neural network and local sensors, the robot is able to estimates its actual position quite accurately. This paper furthermore shows that the learning procedure is also able to compensate for slip and friction effects that cannot be observed by the local sensors.

References

  1. 1.
    Gloye, A., Simon, M., Egorova, A., Wiesel, F., Tenchio, O., Schreiber, M., Behnke, S., Rojas, R.: Predicting away robot control latency, Technical Report B-08-03, FU-Berlin (June 2003)Google Scholar
  2. 2.
    Zagal, J., Ruiz-de-Solar, J.: Learning to Kick the Ball Using Back to Reality. In: Nardi, D., Riedmiller, M., Sammut, C., Santos-Victor, J. (eds.) RoboCup 2004. LNCS (LNAI), vol. 3276, Springer, Heidelberg (2005)Google Scholar
  3. 3.
    Rojas, R.: Neural Networks - A Systematic Introduction. Springer, Heidelberg (1996)zbMATHGoogle Scholar
  4. 4.
    Astrom, K.J., Hagglund, T.: PID Controllers: Theory, Design, and Tuning, International Society for Measurement and Con, 2nd edn. (1995)Google Scholar
  5. 5.
    Gloye, A., Göktekin, C., Egorova, A., Tenchio, O., Rojas, R.: Learning to Drive and Simulate Autonomous Mobile Robots. In: Nardi, D., Riedmiller, M., Sammut, C., Santos-Victor, J. (eds.) RoboCup 2004. LNCS (LNAI), vol. 3276, Springer, Heidelberg (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Steffen Prüter
    • 1
  • Ralf Salomon
    • 1
  • Frank Golatowski
    • 1
  1. 1.University of Rostock, Faculty of Computer Science and Electrical Engineering, Institute of Applied Microelectronics and Computer Engineering, 18051 RostockGermany

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