Abstract
RoboCup (Robot World Cup Initiative) is the most famous soccer robot competition in the world. However, RoboCup was originally established as an international joint project to promote AI, robotics, and related field. To go toward this aim, the soccer game is selected as a primary domain in RoboCup and soccer game competitions and international conferences have been organized at different places of the world every year since 1997 [1]-[6]. Currently, about 35 countries and 3,000 researchers are participating in the RoboCup project. The final goal of the RoboCup project is to develop a team of fully autonomous humanoid robot soccer players, according to the official rule of the FIFA, that can win against the human World Cup champion team until 2050.
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References
Kitano, H. (ed.): RoboCup 1997. LNCS, vol. 1395. Springer, Heidelberg (1998)
Asada, M. (ed.): RoboCup 1998. LNCS (LNAI), vol. 1604. Springer, Heidelberg (1999)
Veloso, M., Pagello, E., Kitano, H. (eds.): RoboCup 1999. LNCS (LNAI), vol. 1856. Springer, Heidelberg (2000)
Stone, P., Balch, T., Kraetzschmar, G. (eds.): RoboCup 2000. LNCS (LNAI), vol. 2019. Springer, Heidelberg (2001)
Birk, A., Coradeschi, S., Tadokoro, S. (eds.): RoboCup 2001. LNCS (LNAI), vol. 2377. Springer, Heidelberg (2002)
Kaminka, G.A., Lima, P.U., Rojas, R. (eds.): RoboCup 2002. LNCS (LNAI), vol. 2752. Springer, Heidelberg (2003)
Mackworth, A.: On Seeing Robots, Computer Vision: System, Theory, and Applications, pp. 1–13. World Scientific Press, Singapore (1993)
Tsuzaki, R., Yoshida, K.: Motion Control Based on Fuzzy Potential Method for Autonomous Mobile Robot with Omnidirectional Vision. J. of the Robotics Society of Japan, 656–662 (2003) (in Japanese)
Kougo, J., Fujii, H., Yoshida, K.: Design Method of an Action-Integrator for Cooperative Soccer Robot. In: Symp. of the Robotics Society of Japan (RSJ 2002) ,1B38, CD-ROM (2002) (in Japanese)
Asada, M., Noda, S., Tawaratumida, S., Hosoda, K.: Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning. Machine Learning 23, 279–303 (1996)
Takahashi, Y., Asada, M.: Multi-Controller Fusion in Multi-Layered Reinforcement Learning. In: International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2001), pp. 7–12 (2001)
Uchibe, E., Yanase, M., Asada, M.: Behavior Generation for a Mobile Robot Based on the Adaptive Fitness Function. In: Proc. of Intelligent Autonomous Systems (IAS-6), pp. 3–10 (2000)
Enokida, S., Ohashi, T., Yoshida, T., Ejima, T.: Extended Q-Learning: Reinforcement Learning Using Self-Organized State Space. In: Stone, P., Balch, T., Kraetzschmar, G.K. (eds.) RoboCup 2000. LNCS (LNAI), vol. 2019, pp. 129–138. Springer, Heidelberg (2001)
RoboCup Federation.: Robocup Official Site, http://www.robocup.org/
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Maeda, Y. (2004). Introduction to RoboCup Research in Japan. In: Torra, V., Narukawa, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2004. Lecture Notes in Computer Science(), vol 3131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27774-3_1
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DOI: https://doi.org/10.1007/978-3-540-27774-3_1
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