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A Practical Fuzzy Logic Controller for Sumo Robot Competition

  • Hamit Erdem
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4815)

Abstract

This paper describes the design of fuzzy logic based sumo wrestling robot. The designed robot has a simple control algorithm and single fuzzy microcontroller is used in hardware implementation. The designed robot meets the specifications needed to compete in a sumo robot competition. The main difference of the designed system with earlier sumo robots is in control algorithms. A simple fuzzy logic controller is developed for detection and tracking of opponent in competition ring. Three infrared (IR) sharp sensors are used for target detection. Fuzzy microcontroller fuses the sensor data’s and provides the necessary control signal to motors for heading robot toward the opponent. The fuzzy rules were optimized for the best results possible in software which are loaded in fuzzy controller. The implemented control algorithm shows better performance and executes the opponent detection algorithm in less time in comparison with conventional sumo robot algorithm. Design procedure and experimental results are presented to show the performance of the intelligent controller in designed system.

Keywords

Fuzzy Logic Mobile Robot Control Algorithm Fuzzy Rule Fuzzy Controller 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Driankov, D., Saffiotti, A.: Fuzzy Logic for Autonomous Vehicle Navigation. Springer, New York (2001)Google Scholar
  2. 2.
    Seraji, H., Howard, A.: Behavior-based robot navigation on challenging terrain: A fuzzy logic approach. IEEE Trans on Robot Automat 18(3), 308–321 (2002)CrossRefGoogle Scholar
  3. 3.
    Vadakkepat, P., Miin, O., Peng, X., Lee, T.: Fuzzy behavior based control of mobile robots. IEEE Trans on Fuzzy Syst 12(4), 559–565 (2004)CrossRefGoogle Scholar
  4. 4.
    Liu, J., Pok, C.K., Keung.: Learning: coordinated maneuvers in complex environments: a sumo experiment. In: CEC 99 (1999)Google Scholar
  5. 5.
    Liu, J.M., Zhang, S.W.: Multi-phase sumo maneuver learning. ROBOTICA 22(2), 61–75 (2004)CrossRefGoogle Scholar
  6. 6.
    Sharp Corporation: Distance Measuring Sensor GP2D120. Spec. ED-99170 (99)Google Scholar
  7. 7.
    Winfact 6: Simulation program, http://www.kahlert.com
  8. 8.
    ST Microelectronics: ST52F513 sheet’s. FUZZYSTUDIOTM5 User Manual ( 2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Hamit Erdem
    • 1
  1. 1.Baskent University, 06530 AnkaraTurkey

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