- S. Achim, P. Stone, and M. Veloso, Building a Dedicated Robotic Soccer System. In Proceedings of the IR0$-96 Workshop on RoboCup, Osaka, 1996.Google Scholar
- P. Agre and D. Chapman. Pengi: An implementation of a theory of activity. In Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), pp. 268-272, 1987.Google Scholar
- Y. Aloimonos. "Rply: What i have learned". CVGIP: image Understanding, 60:1:74-85, 1994. Google ScholarDigital Library
- M. Asada, S. Nods, S. Tawaxatsumida, and K. Hosoda. Vision-based reinforcement learning for purposive behavior acquisition. In Proc. ol IEEE Int. Conf. on Robotics and Automation, 1995.Google ScholarCross Ref
- M. Asada, S. Noda, S. Tawaratsumida, and K. Hosoda. "purposive behavior acquisition on a real robot by vision-based reinforcement learning". In Proc. of MLC-COLT (Machine Learning Conference and Computer Learning Theory) Workshop on Robot Learning, pages 1-9, 1994.Google Scholar
- M. Asada, E. Uchibe, S. Nods, S. Tawaratsumida, and K. Hosoda. "coordination of multiple behaviors acquired by vision-based reinforcement learning". In Proc. of IEEE/RSJ/GI International Conference on Intelligent Robots and Systems 199~ (IRO$ '9~), pages 917-924, 1994.Google ScholarCross Ref
- M. Bends, V. J agannathan, and R. Dodhiawalla. On Optimal Cooperation of Knowledge Sources. Technical Report BCS-G2010-28, Boeing AI Center, 1985.Google Scholar
- M. Bowling, P. Stone, and M. Veloso, Predictive Memory for an Inaccessible Environment. In Proceedings ol the IR0S-96 Workshop on RoboCup, Osaka, 1996.Google Scholar
- S. Ch'ng and L. Padgham, Role Organisation and Planning Team Strategies. In Proceedings of the IROS-96 Workshop on RoboCup, Osaka, 1996.Google Scholar
- J. H. Connel and S. Mahadevan. "Rapid task learning for real robot". In J. H. Connel and S. Mahadevan, editors, Robot Learning, chapter 5. Kluwer Academic Publishers, 1993.Google Scholar
- J. H. Connet and S. Mahadevan, editors. Robot Learning. Kluwer Academic Publishers, 1993.Google Scholar
- A. Durogoul and D. Duhaut, MICROB: Making Intelligent Collective Robotics. In Proceedin~s o! the IROS-96 Workshop on RoboCup, Osaka, 1996.Google Scholar
- E. Durfee and V. Lesser. Using Partial Global Plans to Coordinate Distributed Problem Solvers. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence (IJCAI-87), 1987.Google Scholar
- M. Fujita and K. Kageyama, An Open Architecture for Robot Entertainment. In Proceedings of the First International Conference on Autonomous Agents (Agent-97), 1997. Google ScholarDigital Library
- L. Gasser, N. Rouquette, R. Hill, and J. Lieb. Representing and Using Organizational Knowledge in Distributed AI Systems. In Les Gasser and Michael N. Huhns, editors, Distributed Artificial Intelligence, Volume If, pp. 55-78. Morgan Kaufmann Publishers, Inc., 1989. Google ScholarDigital Library
- T. Ishida and R. Korf. Moving Target Search. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence (IJCAI-91), pp. 204- 210, 1991.Google Scholar
- D. Kinny and M. Georgeff. Commitment and Effectiveness of Situated Agents. In Proceedings of the Twelfth International joint Conference on Artificial Intelligence (IJCAI-91), pp. 82-88, 1991.Google ScholarDigital Library
- R. Korf. Planning as Search: A Quantitative Approach. Artificial Intelligence, Vol. 33, No. 1, pp.65- 88, 1987. Google ScholarDigital Library
- R. Korf. A Simple Solution to Pursuit Games. In Proceedings of the Eleventh International Workshop on Distributed Artificial Intelligence, 1992.Google Scholar
- V. Lesser and L. Erman. Distributed Interpretation: A Model and Experiment. IEEE Transactions on Computers, Vol. 29, No. 12, pp.1144-1163, 1980.Google ScholarDigital Library
- R. Levy and J. Rosenschein. A Game Theoretic Approach to Distributed Artificial Intelligence. In Eric Werner and Yves Demazeau, editors, Decentralized A.I. $. Elsevier/North Holland, 1992.Google Scholar
- P. Maes. Situated agents can have goals. In Pattie Maes, editor, Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back, pp. 49-70. The MIT Press, 1991. Google Scholar
- M. J. Mataric. Learning to behave socially. In Proc. of the 3rd Int.Conf. on Simulation and Adaptive Behaviors - From animals to animats 3 -, pages 453-462, 1994. Google ScholarDigital Library
- D. McDermott. Planning and Action. Cognitive Science, Vol. 2, pp.71-110, 1978.Google Scholar
- H. Mizuno, M. Kourogi, and Y. Muraoka, Building shootbot possible to dribble and shoot. In Proceedings of the IROS-96 Workshop on RoboCup, Osaka, 1996.Google Scholar
- I. Noda and H. Matsubara, Soccer Server and Researches on Multi-Agent Systems. In Proceedings of the IROS-96 Workshop on RoboCup, Osaka, 1996.Google Scholar
- I. Nourbaaksh, et al., The Winning Robots from the 1993 Robot Competition. The AI Magazine, Vol. 14, No. 4, 51-62, The AAAI Press, 1993. Google ScholarDigital Library
- E. Osawa. A Metalevel Coordination Strategy for Reactive Cooperative Planning. In Proceedings of the First International Conference on Multi-Agent Systems, 1995.Google Scholar
- M. Pollack and M. Ringuette. Introducing the Tileworld: Experimentally Evaluating Agent Architectures. In Proceedings of the Eighth National Conference on Artificial Intelligence (AAAL90), pp. 183- 189, 1990.Google Scholar
- A. A. Rizzi and D. E. Koditschek. Further progress in robot juggling: The spatial two-juggle. In Proc. of IEEE Int. Conf. on Robotics and Automation, pages 919-924, 1993.Google ScholarCross Ref
- M. K. Sahota. Reactive deliberation: An architecture for real-time intelligent control in dynamic environments. In Proc. of AAAI-gj, pages 1303-1308, 1994. Google ScholarDigital Library
- S. Schaal and C. G. Atkeson. Robot learning by nonparametric regression. In Proc. of IEEE/RSJ/GI International Conference on Intelligent Robots and Systerns 1994 (IROS 'gj), pages 478-485, 1994.Google ScholarCross Ref
- L. Stephens and M. Merx. Agent Organization as an Effector of DAI System Performance. In Proceedings of the Ninth Workshop on Distributed Artificial lntelligence, pp. 263-292, 1989.Google Scholar
- P. Stone, and M. Veloso, "Beating a defender in robotic soccer: Memory-based learning of a continuous function," in David S. Tourtzky, Michael C. Mozer, and Michael E. Hasselmo, editors, Advances in Neural Information Processing Systems 8, Cambridge, MA, MIT Press, 1996.Google Scholar
- P. Stone, and M. Veloso, Using Machine Learning in the Soccer Server. In Proceedings of the IROS-96 Workshop on RoboCup, Osaka, 1996.Google Scholar
- P. Stone, and M. Veloso, A Layered Approach for an Autonomous Robotic Soccer System. In Proceedings of the First Conference Autonomous Agents (Agent- 97), Marina del Ray, 1997. Google ScholarDigital Library
- M. Tambe, "Tracking Dynamic Team Activity" In Proceedings of AAAI-96, Portland, 1996. Google ScholarDigital Library
- E. Uchibe, M. Asada, and K. Hosoda. Reasonable performance in less learning time by real robot based on incremental state space segmentation. In Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems 1996 (iROS96), pages ???-???, 1996.Google Scholar
- E. Uchibe, M. Asada, and K. Hosoda. Behavior coordination for a mobile robot using modular reinforcement learning. In Proc. of iEEE/RSJ International Conference on Intelligent Robots and Systems 1996 (IROS96), pages ???-???, 1996.Google Scholar
- H. Watanabe, Y. Nihna, Y. Masutani, and F. Miyazaki. Vision-based motion control for a hitting task- hanetsuki-. In Proc. of IEEE/RSJ/GI International Conference on Intelligent Robots and Systems 1994 (IROS '9$), pages 910-916, 1994.Google ScholarCross Ref
- S. D. Whitehead and D. H. Ballard. "Active perception and reinforcement learning". Ill Proc. of Workshop on Machine Learning-1990, pages 179-188, 1990. Google ScholarDigital Library
- T. Yamaguchi, Y. Nomura, Y. Tanaka, and M. Yachida, Acquiring Various Behaviors by Isomorphism of Actions in Reinforcement Learning. In Proceedings of the IROS-96 Workshop on RoboCup, Osaka, 1996.Google ScholarCross Ref
Index Terms
- RoboCup: The Robot World Cup Initiative
Recommendations
Overview of RoboCup-99
RoboCup-99: Robot Soccer World Cup IIIRoboCup-99, the third Robot World Cup Soccer Games and Conferences, was held in conjunction with IJCAI-99 in Stockholm. RoboCup has now clearly demonstrated that it provides a remarkable framework for advanced research in Robotics and Artificial ...
Overview of RoboCup-98
RoboCup-98: Robot Soccer World Cup IIRoboCup is an increasingly successful attempt to promote the full integration of AI and robotics research. Following the astonishing success of the first RoboCup-97 at Nagoya [1], the Second Robot World Cup Soccer Games and Conferences, RoboCup-98, was ...
ROS 2 for RoboCup
RoboCup 2019: Robot World Cup XXIIIAbstractThere has always been much motivation for sharing code and solutions among teams in the RoboCup community. Yet the transfer of code between teams was usually complicated due to a huge variety of used frameworks and their differences in processing ...
Comments