Note: The following list contains the publication up to 1998.

• For Publications related to Soccer Simlation League 2005 July
  
• For up-to-date list, please refer to RoboCup Research Publication Database (Test Version as of 2002 Dec)

Journals

Applied Artificial Intelligence, Volume 12, Number 2-3, 1998
Special Issue: RoboCup
Guest Editor: Hiroaki Kitano

• Research Program of RoboCup,
  Hiroaki Kitano
  
• Using the Cassiopeia Method to Design a Robot Soccer Team,
  Anne Collinot and Alexis Drogoul
  
• Action-Based Sensor Space Segmentation for Soccer Robot Learning,
  Minoru Asada, Shoichi Noda, and Koh Hosoda
  
• Layered Approach to Learning Client Behaviors in the RoboCup Soccer Server,
  Peter Stone and Manuela Veloso
  
• Implementing Agent Teams in Dynamic Multiagent Environments,
  Milind Tambe
  
• From Roles To Teamwork: A Framework and Architecture,
  Simon Ch'ng and Lin Padgham
  
• Soccer Server: A Tool for Research on Multiagent Systems,
  Itsuki Noda, Hitoshi Matsubara, Kazuo Hiraki, and Ian Frank
  
• The RoboCup Physical Agent Challenge: Phase-I,
  Minoru Asada, Peter Stone, Hiroaki Kitano,Barry Werger, Yasuo Kuniyoshi, Alexis Drogoul, Dominique Duhaut,Manuela Veloso, Hajime Asama, and Sho'ji Suzuki
  

AI Magazine

• RoboCup: A Challenge AI Problem, AI Magazine, Spring, 1997.

• Coradeschi S. and Malec J. "The Use of RoboCup (soccer simulation) for an AI programming course", to appear (in Japanise) in the Journal of Robotic Society of Japan, special issue in Robotics and Education, April 98 Abstract

• "CMUnited: A Team of Robotic Soccer Agents Collaborating in an Adversarial Environment"
  Manuela Veloso, Peter Stone, Kwun Han and Sorin Achim

• Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer.
  Peter Stone and Manuela Veloso.
  HTML version
  

• M. Asada and S. Noda and S. Tawaratumida and K. Hosoda, "Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning",Machine Learning, Vol. 23, 279--303, 1996

• Towards Flexible Teamwork , Tambe, M., Journal of Artificial Intelligence Research, Volume 7, Pages 83-124 On-line appendix for this article: STEAM rules and documentation

• RoboCup Humanoid Challenge: That's One Small Step for a Robot, One Giant Leap for Mankind, Hiroaki Kitano and Minoru Asada.

• "Building Integrated Mobile Robots for Soccer Competition" Wei-Min Shen, Jafar Adibi, Rogelio Adobbati, Bonghan Cho, Ali Erdem, Hadi Moradi, Behnam Salemi, Sheila Tejada Computer Science Department / Information Sciences Institute University of Southern California
• "Reactive Visual Control of Multiple Non-Holonomic Robotic Agents". Kwun Han & Manuela Veloso,School of Computer Science, Carnegie Mellon University
• "Cooperative Behavior Acquisition in Multi Mobile Robots Environment by Reinforcement Learning Based on State Vector Estimation" by E. Uchibe, M.Asada, and K.Hosoda Dept. of Adaptive Machine Systems, Graduate School of Engineering, Osaka University
• "Environmental Complexity Control for Vision-Based Learning Mobile Robot" by E. Uchibe, M.Asada, and K.Hosoda Dept. of Adaptive Machine Systems, Graduate School of Engineering, Osaka University
• "Principles of minimal control for comprehensive team behavior" Barry Werger, The Ullanta Performance Robotics.
• "Development of Self-Learning Vision-Based Mobile Robots for Acquiring Soccer Robots Behaviors." Takayuki Nakamura,Nara Advanced Institute of Science and Technology
• "Sony Legged Robot for RoboCup Challenge" Hiroaki Kitano, Masahiro Fujita, Stephen Zrehen, Sony Computer Science Laboratory, and Sony Corp.

• M. Asada, S. Noda, S. Tawaratsumida, and K. Hosoda, Vision-Based Reinforcement Learning for Purposive Behavior Acquisition (804K). Proc. of IEEE Int. Conf. on Robotics and Automation, pp.146-153, 1995.

• MIKE: an automatic commmentary system for Soccer, Kumiko TANAKA-Ishii, Itsuki NODA, Ian Frank, Hideyuki NAKASHIMA, Koiti HASIDA and Hitoshi MATSUBARA, ElectroTechnical Laboratory, 1998
• Prediction, Behaviors, and Collaboration in a Team of Robotic Soccer Agents.
  Manuela Veloso, Peter Stone, Kwun Han, and Sorin Achim
  HTML version
• "Towards flexible teamwork in persistent teams." International Conference on Multi-agent systems (ICMAS), 1998 (to appear) (to appear on the web at http://www.isi.edu/soar/tambe/agent.html).

• RoboCup: The Robot World Cup Initiative, Kitano et al.

• Using Decision Tree Confidence Factors for Multiagent Control.
  Peter Stone and Manuela Veloso
  HTML version
• The CMUnited-97 Robotic Soccer Team: Perception and Multiagent Control.
  Manuela Veloso, Peter Stone, and Kwun Han
  HTML version

• Y. Takahashi, M. Asada and K. Hosoda, Reasonable Performance in Less Learning Time by Real Robot Based on Incremental State Space Segmentation (845K), Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1518-1524, 1996.
• E. Uchibe, M. Asada and K. Hosoda, Behavior Coordination for a Mobile Robot Using Modular Reinforcement Learning (774K), Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1329-1336, 1996.
• M. Asada, S. Noda and K. Hosoda, Action-Based Sensor Space Categorization for Robot Learning (771K), Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1502-1509, 1996.

• M. Asada, E. Uchibe, S. Noda, S. Tawaratsumida, and K. Hosoda, Coordination Of Multiple Behaviors Acquired By Vision-Based Reinforcement Learning (757K), Proc. of IEEE/RSJ/GI International Conference on Intelligent Ro bots and Systems 1994 (IROS '94), pp.917-924, 1994.

• Extended version citable as a CMU Tech report: CMU-CS-95-222
  Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function. (extended version)
  Official NIPS*95 version.
  Peter Stone and Manuela Veloso.
  HTML version (of the extended paper)

• Using Testing to Iteratively Improve Training.
  Peter Stone and Manuela Veloso.
  Here are some slides with more detail

• Tambe, M. 1997 Agent architectures for flexible, practical teamwork. National Conference on Artificial Intelligence (AAAI-97)

• RoboCup Synthetic Agent Challenge 97, Kitano, H., et al.

• E. Uchibe, M. Asada, and K. Hosoda, State Space Construction for Behavior Acquisition in Multi Agent Environments with Vision and Action, Proc. of 6th-ICCV (Int'l Conf. on Computer Vision), pp.870-875, 1998.

• M. Asada, E. Uchibe and K. Hosoda, Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds via Vision-Based Reinforcement Learning and Development (1932K), Proc. of First International Workshop on Cooperative Distributed Vision, pp.127-142, 1997.

• E. Uchibe, M. Asada, and K. Hosoda, Vision Based State Space Construction for Learning Mobile Robots in Multi Agent Environments(512K), Proc. of Sixth European Workshop on Learning Robots (EWLR-6), pp.33-41, 1997.

• E. Uchibe, M. Asada and K. Hosoda, Strategy Classification in Multi-agent Environment -- Applying Reinforcement Learning to Soccer Agents(595K), ICMAS-96 workshop 2: RoboCup Workshop: Soccer as a Problem for Multi-Agent Systems, 1996.
• Y. Takahashi, M. Asada, S. Noda and K. Hosoda, Sensor Space Segmentation for Mobile Robot Learning (1360K), Proceedings of ICMAS'96 Workshop on Learning, Interaction and Organizations in Multiagent Environment, 1996.

• M. Asada, An Agent and an Environment: A View on "Having Bodies" - A Case Study on Behavior Learning for Vision-Based Mobile Robot - (165K), Proceedings of 1996 IROS Workshop on Towards Real Autonomy, pp.19-24, 1996.

• E. Uchibe, M. Asada, S. Noda, Y. Takahashi and K. Hosoda, Vision-Based Reinforcement Learning for RoboCup : Towards Real Robot Competition (589K), Proc. of IROS 96 Workshop on RoboCup, 1996.

• M. Asada, T. Nakamura and K. Hosoda, Behavior Acquisition via Vision-Based Robot Learning (2488K), Robotics Research, The Seventh International Symosium, Springer, pp.279-286, 1996.

• M. Asada, T. Nakamura, and K. Hosoda, Vision-Based Robot Learning for Behavior Acquisition (1644K). Proc. of IROS95 Workshop on Vision for Robots, pp.110-115, 1995.

• M. Asada, E. Uchibe, and K. Hosoda, Agents That Learn from Other Competitive Agents (730K). Proc. of Machine Learning Conference Workshop on Agents That Learn from Other Agents, pp.1-7, 1995.
• M. Asada, S. Noda, and K. Hosoda, Non-Physical Intervention in Robot Learning Based on LfE Method (454K). Proc. of Machine Learning Conference Workshop on Learning from Examples vs. Programming by Demonstration, pp.25-31, 1995.

• S. Noda, M. Asada, and K. Hosoda, A Study On Applying A Reinforcement Learning For A Real Robot, Proceedings of the 2nd Japan-France Congress on Mechatronics (International), pp.207-210, 1994.

• M. Asada, S. Noda, S. Tawaratsumida, and K. Hosoda, Purposive Behavior Acquisition On A Real Robot By Vision-Based Reinforcement Learning (814K), Proc. of MLC-COLT (Machine Learning Confernce and Computer Learning Theory) Workshop on Robot Learning, pp.1-9, 1994.

• M. Asada, E. Uchibe, S. Noda, S. Tawaratsumida, and K. Hosoda, A Vision-Based Reinforcement Learning For Coordination Of Soccer Playing Behaviors (188K), Proc. of AAAI-94 Workshop on AI and A-life and Entertainment, pp.16-21, 1994.

• M. Asada, S. Noda, S. Tawaratsumida, and K. Hosoda, Vision-Based Behavior Acquisition For A Shooting Robot By Using A Reinforcement Learning, Proc. of IAPR/IEEE Workshop on Visual Behaviors-1994, pp.112-118, 1994.