A tactics for robot soccer with fuzzy logic mediator

  • Authors:

  • Jeongjun Lee;Dongmin Ji;Wonchang Lee;Geuntaek Kang;Moon G. Joo

  • Affiliations:

  • Dept. of Electronic Engineering, Pukyong National Univ;Dept. of Electronic Engineering, Pukyong National Univ;Dept. of Telecommunication Engineering, Pukyong National Univ, Busan, Korea;Dept. of Telecommunication Engineering, Pukyong National Univ, Busan, Korea;Dept. of Telecommunication Engineering, Pukyong National Univ, Busan, Korea

  • Venue:
  • CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
  • Year:
  • 2005

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Abstract

This paper presents a tactics using fuzzy logic mediator that selects proper robot action depending on the positions and the roles of adjacent two robots. Conventional Q-learning algorithm, where the number of states increases exponentially with the number of robots, is not suitable for a robot soccer system, because it needs so much calculation that processing cannot be accomplished in real time. A modular Q-learning algorithm reduces a number of states by partitioning the concerned area, where mediator algorithm for cooperation of robots is used additionally. The proposed scheme not only reduces a number of a calculation but also combines a robot action selection with robot cooperation by means of fuzzy logic system.