Abstract
This is the team description of Osaka University “Trackies” for RoboCup-99. We have worked two issues for our new team. First, we have changed our robot system from a remote controlled vehicle to a self-contained robot. The other, we have proposed a new learning method based on a Q-learning method so that a real robot can aquire a bhevior by reinforcement learning.
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References
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. S. Suzuki, Y. Takahashi, E. Uchibe, M. Nakamura, C. Mishima, and M. Asada. “Vision-Based Learning Towards RoboCup: Osaka University’ Trackies’.” RoboCup-97: Robot Soccer World Cup I, Springer, pp. 305–319, 1997.
. S. Suzuki, T. Kato, H. Ishizuka, Y. Takahashi, E. Uchibe, and M. Asada. “An Application of Vision-Based Learning in RoboCup for a Real Robot with an Omnidirectional Vision System and the Team Description of Osaka University “Trackies” “, RoboCup-98: Robot Soccer World Cup 11, Springer, 1999(to be published).
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Suzuki, S. et al. (2000). The Team Description of Osaka University “Trackies-99”. In: Veloso, M., Pagello, E., Kitano, H. (eds) RoboCup-99: Robot Soccer World Cup III. RoboCup 1999. Lecture Notes in Computer Science(), vol 1856. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45327-X_97
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DOI: https://doi.org/10.1007/3-540-45327-X_97
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