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RoboCup 2012 Rescue Simulation League Winners

  • Francesco Amigoni
  • Arnoud Visser
  • Masatoshi Tsushima
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7500)

Abstract

Inside the RoboCup Rescue Simulation League, the mission is to use robots to rescue as many victims as possible after a disaster. The research challenge is to let the robots cooperate as a team. This year in total 15 teams from 8 different countries have been active in the competitions. This paper highlights the approaches of the winners of the virtual robot competition, the infrastructure competition, and the agent competition.

Keywords

Line Segment Path Planning Semantic Place Rescue Team Robot Team 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Amigoni, F., Caltieri, A., Cipolleschi, R., Conconi, G., Giusto, M., Luperto, M., Mazuran, M.: PoAReT Team Description Paper. In: RoboCup 2012 CD (2012)Google Scholar
  2. 2.
    Carpin, S., Lewis, M., Wang, J., Balakirsky, S., Scrapper, C.: USARSim: a robot simulator for research and education. In: Proceedings of the International Conference on Robotics and Automation (ICRA 2007), pp. 1400–1405 (2007)Google Scholar
  3. 3.
    Pfingsthorn, M.: RoboCup rescue virtual robots: Wireless simulation server documentation. Technical Report, Jacobs University (2008)Google Scholar
  4. 4.
    Comer, D.: Internetworking with TCP/IP, vol. 1. Addison-Wesley (2006)Google Scholar
  5. 5.
    Wang, J., Lewis, M.: Human control for cooperating robot teams. In: Proc. HRI, pp. 9–16 (2007)Google Scholar
  6. 6.
    LaValle, A., Kuffner, J.: Rapidly-exploring random trees: Progress and prospects. In: Donald, B., Lynch, K., Rus, D. (eds.) Algorithmic and Computational Robotics: New Directions, pp. 293–308 (2001)Google Scholar
  7. 7.
    Garulli, A., Giannitrapani, A., Rossi, A., Vicino, A.: Simultaneous localization and map building using linear features. In: Proc. ECMR, pp. 44–49 (2005)Google Scholar
  8. 8.
    Nguyen, V., Gächter, S., Martinelli, A., Tomatis, N., Siegwart, R.: A comparison of line extraction algorithms using 2D range data for indoor mobile robotics. Autonomous Robots 23(2), 97–111 (2007)CrossRefGoogle Scholar
  9. 9.
    Elseberg, J., Creed, R., Lakaemper, R.: A line segment based system for 2D global mapping. In: Proc. ICRA, pp. 3924–3931 (2010)Google Scholar
  10. 10.
    Li, Q., Griffiths, J.: Iterative closest geometric objects registration. Computers & Mathematics with Applications 40(10-11), 1171–1188 (2000)MathSciNetCrossRefzbMATHGoogle Scholar
  11. 11.
    Pronobis, A., Martinez Mozos, O., Caputo, B., Jensfelt, P.: Multi-modal semantic place classification. International Journal of Robotics Research 29(2-3), 298–320 (2009)CrossRefGoogle Scholar
  12. 12.
    Martinez Mozos, O.: Semantic Labeling of Places with Mobile Robots. Springer (2010)Google Scholar
  13. 13.
    Stachniss, C., Mozos, O.M., Burgard, W.: Speeding up multi-robot exploration by considering semantic place information. In: Proc. ICRA, pp. 1692–1697 (2006)Google Scholar
  14. 14.
    Basilico, N., Amigoni, F.: Exploration strategies based on multi-criteria decision making for searching environments in rescue operations. Autonomous Robots 31(4), 401–417 (2011)CrossRefGoogle Scholar
  15. 15.
    Zlot, R., Stentz, A., Dias, M.B., Thayer, S.: Multi-robot exploration controlled by a market economy. In: Proc. ICRA, pp. 3016–3023 (2002)Google Scholar
  16. 16.
    Viola, P., Jones, J.J.: Robust real-time face detection. International Journal of Computer Vision 57(2), 137–154 (2004)CrossRefGoogle Scholar
  17. 17.
    Fassaert, M.L., Post, S.B.M., Visser, A.: The common knowledge model of a team of rescue agents. In: Proc. 1st International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (2003)Google Scholar
  18. 18.
    Post, S.B.M., Fassaert, M.L., Visser, A.: The high-level communication model for multiagent coordination in the robocuprescue simulator. In: Polani, D., Browning, B., Bonarini, A., Yoshida, K. (eds.) RoboCup 2003. LNCS (LNAI), vol. 3020, pp. 503–509. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  19. 19.
    de Hoog, J.: Role-Based Multi-Robot Exploration. PhD thesis, University of Oxford (2011)Google Scholar
  20. 20.
    Schmits, T., Visser, A.: An Omnidirectional Camera Simulation for the USARSim World. In: Iocchi, L., Matsubara, H., Weitzenfeld, A., Zhou, C. (eds.) RoboCup 2008. LNCS, vol. 5399, pp. 296–307. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  21. 21.
    Balaguer, B., Balakirsky, S., Carpin, S., Visser, A.: Evaluating maps produced by urban search and rescue robots: lessons learned from RoboCup. Autonomous Robots 27(4), 449–464 (2009)CrossRefGoogle Scholar
  22. 22.
    Terwijn, B., Formsma, O., Dijkshoorn, N., van Noort, S., de Hoog, J., Out, N., Bastiaan, C., Visser, A.: Amsterdam Oxford Joint Rescue Forces: Community Contribution (2010) (published online)Google Scholar
  23. 23.
    Formsma, O., Dijkshoorn, N., van Noort, S., Visser, A.: Realistic Simulation of Laser Range Finder Behavior in a Smoky Environment. In: Ruiz-del-Solar, J. (ed.) RoboCup 2010. LNCS, vol. 6556, pp. 336–349. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  24. 24.
    van Noort, S., Visser, A.: Validation of the dynamics of an humanoid robot in USARSim. In: Proc. PerMIS (2012)Google Scholar
  25. 25.
    Dijkshoorn, N.: Simultaneous localization and mapping with the AR.Drone. Masters thesis, Universiteit van Amsterdam (2012)Google Scholar
  26. 26.
    Davids, A.: Urban search and rescue robots: from tragedy to technology. IEEE Intelligent Systems 17(2), 81–83 (2002)Google Scholar
  27. 27.
    Balakirsky, S., Carpin, S., Kleiner, A., Lewis, M., Visser, A., Wang, J., Ziparo, V.A.: Towards heterogeneous robot teams for disaster mitigation: Results and Performance Metrics from RoboCup Rescue. Journal of Field Robotics 24(11-12), 943–967 (2007)CrossRefGoogle Scholar
  28. 28.
    Alnajar, F., Nijhuis, H., Visser, A.: Coordinated action in a Heterogeneous Rescue Team. In: Baltes, J., Lagoudakis, M.G., Naruse, T., Ghidary, S.S. (eds.) RoboCup 2009. LNCS, vol. 5949, pp. 1–10. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  29. 29.
    Pfingsthorn, M., Rathnam, R., Stoyanov, T., Nevatia, Y., Ambrus, R., Birk, A.: Jacobs Virtual Robot 2008 Team - Jacobs University Bremen, Germany. In: RoboCup 2008 CD (2008)Google Scholar
  30. 30.
    Calisi, D., Randelli, G., Valero, A., Iocchi, L., Nardi, D.: SPQR Rescue Virtual Robots Team Description Paper. In: RoboCup 2008 CD (2008)Google Scholar
  31. 31.
    Balaguer, B., Carpin, S.: UC Mercenary Team Description Paper: RoboCup 2008 Virtual Robot Rescue Simulation League. In: RoboCup 2008 CD (2008)Google Scholar
  32. 32.
    Visser, A., Nguyen, Q., Terwijn, B., Hueting, M., Jurriaans, R., van der Veen, M., Formsma, O., Dijkshoorn, N., van Noort, S., Sobolewski, R., Flynn, H., Jankowska, M., Rath, S., de Hoog, J.: Amsterdam Oxford Joint Rescue Forces - Team Description Paper - Virtual Robot competition - Rescue Simulation League - RoboCup 2010. In: RoboCup 2010 CD (2010)Google Scholar
  33. 33.
    Nguyen, Q., Visser, A.: A color based rangefinder for an omnidirectional camera. In: Balakirsky, S., Carpin, S., Lewis, M. (eds.) Proc. IROS Workshop on Robots, Games, and Research: Success stories in USARSim, pp. 41–48 (2009)Google Scholar
  34. 34.
    Dijkshoorn, N., Visser, A.: An elevation map from a micro aerial vehicle for urban search and rescue. In: RoboCup 2012 CD (2012)Google Scholar
  35. 35.
    Dijkshoorn, N., Visser, A.: Integrating sensor and motion models to localize an autonomous AR. Drone. International Journal of Micro Air Vehicles 3(4), 183–200 (2011)CrossRefGoogle Scholar
  36. 36.
    Buckland, M.: Programming Game AI by Example. Wordware Publishing (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Francesco Amigoni
    • 1
  • Arnoud Visser
    • 2
  • Masatoshi Tsushima
    • 3
  1. 1.Politecnico di MilanoMilanoItaly
  2. 2.University of AmsterdamAmsterdamThe Netherlands
  3. 3.Ritsumeikan UniversityShigaJapan

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