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Imitation Learning: An Application in a Micro Robot Soccer Game

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References

  1. Dennis Barrios-Aranibar. Estratégias baseadas em aprendizado para coor-denação de uma frota de robôs em tarefas cooperativas. Master’s thesis, Electric Engineering - Federal University of Rio Grande do Norte, 10 2005. Available in http://www.ppgee.ufrn.br/teses.php.

  2. Darrin C. Bentivegna, Christopher G. Atkeson, and Gordon Cheng. Learning tasks from observation and practice. Robotics and Autonomous Systems, 47(2-3):163-169, 6 2004.

    Article  Google Scholar 

  3. James Bruce, Michael Bowling, Brett Browning, and Manuela Veloso. Multi-robot team response to a multi-robot opponent team. In IEEE International Conference on Robotics and Automation, 2003. Proceedings. ICRA ’03, Taipei, Taiwan, volume 2, pages 2281-2286, 9 2003.

    Google Scholar 

  4. Kuan-Yu Chen and Alan Liu. A design method for incorporating multidiscipli-nary requirements for developing a robot soccer player. In Fourth International Symposium on Multimedia Software Engineering, 2002. Proceedings, California, USA, pages 25-32, 12 2002.

    Google Scholar 

  5. FIRA. Fira small league mirosot game rules. http://www.fira.net/soccer/mirosot/rules slm.html, 2004. Last access in 2004, 04 November. 6. Dongbing Gu and Huosheng Hu. Teaching robots to coordinate its behaviours. In 2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA ’04, New Orleans, USA, volume 4, pages 3721 - 3726, 4 2004.

  6. Sng H.L., G. Sen Gupta, and C.H. Messom. Strategy for collaboration in robot soccer. In The First IEEE International Workshop on Electronic Design, Test and Applications, 2002. Proceedings, New Zealand, pages 347-351, 1 2002.

    Google Scholar 

  7. Heung-Soo Kim, Hyun-Sik Shim, Myung-Jin Jung, and Jong-Hwan Kim. Ac-tion selection mechanism for soccer robot. In IEEE International Symposium on Computational Intelligence in Robotics and Automation, 1997. CIRA’97., Proceedings, California, USA, pages 390-395, 7 1997.

    Google Scholar 

  8. Y. Kuniyoshi and H. Inoue. Qualitative recognition of ongoing human action sequences. In IJCAI93 Proceedings, Chambery, France, pages 1600-1609, 1993.

    Google Scholar 

  9. Yuval Marom, George M. Maistros, and Gillian Hayes. Experiments with a social learning model. Adaptive Behavior, 9:209-240, 7 2001.

    Article  Google Scholar 

  10. Hiroyuki Miyamoto and Mitsuo Kawato. A tennis serve and upswing learning robot based on bidirectional theory. Neural Networks, 11:1331-1344, 1998.

    Article  Google Scholar 

  11. Itsuki Noda. Hierarchical hidden markov modeling for team-play in multiple agents. In IEEE International Conference on Systems, Man and Cybernetics, 2003., Proceedings, Washington, D.C., USA, volume 1, pages 38-45, 10 2003.

    Google Scholar 

  12. Itsuki Noda. Hidden markov modeling of team-play synchronization. In Daniel Polani, Brett Browning, and Andrea Bonarini et al., editors, RoboCup 2003: Robot Soccer World Cup VII, volume 3020 / 2004, pages 102 - 113. Springer-Verlag GmbH, 8 2004.

    Google Scholar 

  13. Rafal P. Salustowicz, Marco A. Wiering, and Jrgen Schmidhuber. Learning team strategies: Soccer case studies. Machine Learning, 33(2):263-282, 11 1998.

    MATH  Google Scholar 

  14. Stefan Schaal. Is imitation learning the route to humanoid robots? Trends in Cognitive Sciences, 3(6):233-242, 6 1999.

    Article  Google Scholar 

  15. Jochen Triesch, Jan Wieghardt, Eric Mael, and Christoph von der Malsburg. Towards imitation learning of grasping movements by an autonomous robot. In A. Braffort, R. Gherbi, S. Gibet, J. Richardson, and D. Teil (Eds.), editors, Gesture-Based Communication in Human-Computer Interaction: International Gesture Workshop, GW’99, Gif-sur-Yvette, France, March 1999. Proceedings, volume 1739/1999, chapter 73. Springer-Verlag GmbH, 6 2003.

    Google Scholar 

  16. Marco Wiering, Rafal Salustowicz, and Jrgem Schmidhuber. Reinforcement learning soccer teams with incomplete world models. Autonomous Robots, 7 (1):77-88, 7 1999.

    Article  Google Scholar 

  17. Chia-Ju Wu and Tsong-Li Lee. A fuzzy mechanism for action selection of soccer robots. Journal of Intelligent and Robotic Systems, 39(1):57-70, 1 2004.

    Article  Google Scholar 

  18. Marcelo M. Yamamoto, Antônio P. Araújo, Pablo J. Alsina, and Adelardo A.D. Medeiros. A equipe poti de futebol de robôs. In I JRI - Jornada de Robótica Inteligente, Salvador - BA, Brazil, 8 2004.

    Google Scholar 

  19. Marcelo M. Yamamoto, Diogo P.F. Pedrosa, Adelardo A.D. Medeiros, and Pablo J. Alsina. Um simulador dinâmico para mini-robôs móveis com modelagem de colisões. In SBAI 2003 - Simpósio Brasileiro de Automação Inteligente, Bauru SP, Brazil, pages 852-857, 9 2003.

    Google Scholar 

  20. Marcelo Minicuci Yamamoto. Planejamento cooperativo de tarefas em um ambiente de futebol de robôs. Master’s thesis, Electric Engineering - Federal University of Rio Grande do Norte, 2005. Available in http://www.ppgee.ufrn.br/teses.php

  21. Yu Zhang and Alan K. Mackworth. A constraint-based robotic soccer team. Constraints, 7(1):7-28, 1 2002.

    Article  MATH  Google Scholar 

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Barrios-Aranibar, D., Alsina, P.J. (2007). Imitation Learning: An Application in a Micro Robot Soccer Game. In: Nedjah, N., Coelho, L.d.S., Mourelle, L.d.M. (eds) Mobile Robots: The Evolutionary Approach. Studies in Computational Intelligence, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49720-2_10

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  • DOI: https://doi.org/10.1007/978-3-540-49720-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49719-6

  • Online ISBN: 978-3-540-49720-2

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