TRACKIES: RoboCup-97 Middle-Size League World Cochampion

Authors

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

DOI:

https://doi.org/10.1609/aimag.v19i3.1395

Abstract

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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Published

1998-09-15

How to Cite

Asada, M., Suzuki, S., Takahashi, Y., Uchibe, E., Nakamura, M., Mishima, C., Ishizuka, H., & Kato, T. (1998). TRACKIES: RoboCup-97 Middle-Size League World Cochampion. AI Magazine, 19(3), 71. https://doi.org/10.1609/aimag.v19i3.1395

Issue

Section

Articles