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Advanced Data Logging in RoboCup

  • Conference paper
Autonome Mobile Systeme 2009

Abstract

In this work an advanced data logging approach for the RoboCup domain using an autonomous camera man is presented. It includes approaches from the field of real-time robot message logging, situation based camera control and 3D video visualisation. Based on the implementation of this work the RoboCup team of the IPVS of the University of Stuttgart won the first price in the scientific challenge of the RoboCup World Championship 2009 in Graz.

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References

  1. T. Buchheim, G. Kindermann, and R. Lafrenz. A dynamic environment modelling framework for selective attention. In IJCAI Workshop: Issues in Designing Physical Agents for Dynamic Real-Time Environments: World modeling, planning, learning, and communicating. IJCAI, 2003.

    Google Scholar 

  2. Benkmann et al. Resolving Inconsistencies using Multi-agent Sensor Systems. In Proceedings of the 8th Conference on Autonomous Robot Systems and Competition: Robotica 08; Portugal, pages 93–98. Universidade de Aveiro, April 2008.

    Google Scholar 

  3. K.M. Muscholl. Interaktion und Koordination in Multiagentensystemen. Dissertation, Universität Stuttgart, 2000.

    Google Scholar 

  4. M. Tambe. Towards flexible teamwork. Journal of Artificial Intelligence Research, 7:83–124, 1997.

    Google Scholar 

  5. M. Lötzsch, J. Bach, H.-D. Burkhard, and M. Jüngel. Designing agent behavior with the extensible agent behavior specification language xabsl. In 7th International Workshop on RoboCup 2003, 2003.

    Google Scholar 

  6. Lafrenz et al. Evaluating coupled selection equations for dynamic task assignment using a behavior framework. Autonome Mobile Systeme 2007, 1(1), 2007.

    Google Scholar 

  7. Zweigle et al. Cooperative agent behavior based on special interaction nets. In Intelligent Autonomous Systems 9, 2006.

    Google Scholar 

  8. Martin A. Fischler and Robert C. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM, 24(6):381–395, June 1981.

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Koch, A. et al. (2009). Advanced Data Logging in RoboCup. In: Dillmann, R., Beyerer, J., Stiller, C., Zöllner, J.M., Gindele, T. (eds) Autonome Mobile Systeme 2009. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10284-4_1

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