TRACKIES: RoboCup-97 Middle-Size League World Cochampion

Asada, Minoru, Suzuki, Sho', ji, Takahashi, Yasutake, Uchibe, Eiji, Nakamura, Masateru, Mishima, Chizuko, Ishizuka, Hiroshi, Kato, Tatsunori

AI Magazine 

This article describes a milestone in our research efforts toward the real robot competition in RoboCup. We participated in the middle-size league at RoboCup-97, held in conjunction with the Fifteenth International Joint Conference on Artificial Intelligence in Nagoya, Japan. The most significant features of our team, TRACKIES, are the application of a reinforcement learning method enhanced for real robot applications and the use of an omnidirectional vision system for our goalie that can capture a 360-degree view at any instant in time. The method and the system used are shown with competition results.

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