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Modeling Moving Objects in a Dynamically Changing Robot Application

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KI 2005: Advances in Artificial Intelligence (KI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3698))

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Abstract

In this paper we discuss the topic of modeling a moving object in a robot application considering as example the ball movement in a robot soccer environment. The paper focuses on the question of how to estimate the ball velocity reliably even if the ball collides with an obstacle or the observing robot is moving itself. We propose a new estimation algorithm based on a direct estimate using ridge regression and show its performance in reality.

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References

  1. Arbatzat, M., Freitag, S., Fricke, M., Hafner, R., Heermann, C., Hegelich, K., Krause, A., Krüger, J., Lauer, M., Lewandowski, M., Merke, A., Müller, H., Riedmiller, M., Schanko, J., Schulte-Hobein, M., Theile, M., Welker, S., Withopf, D.: Creating a robot soccer team from scratch: the brainstormers tribots. In: Proc. of RoboCup 2003, Padua, Italy (2003)

    Google Scholar 

  2. Doucet, A.: On sequential simulation-based methods for Bayesian filtering. Technical Report CUED/F-INFENG/TR.310, University of Cambridge (1998)

    Google Scholar 

  3. Freeman, H.: On the encoding of arbitrary geometric configuration. IRE Transactions on Electronic Computers EC-10(2), 260–268 (1961)

    Article  MathSciNet  Google Scholar 

  4. Gelb, A. (ed.): Applied Optimal Estimation, Cambridge (1974)

    Google Scholar 

  5. Lauer, M., Lange, S., Riedmiller, M.: Calculating the perfect match: An efficient and accurate approach for robot self-localization. In: Bredenfeld, A., Jacoff, A., Noda, I., Takahashi, Y. (eds.) RoboCup 2005. LNCS (LNAI), vol. 4020, pp. 142–153. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  6. Micusik, B., Pajdla, T.: Para-catadioptric camera auto-calibration from epipolar geometry. In: Asian Conference on Computer Vision, Jeju Island, Korea (2004)

    Google Scholar 

  7. Nardi, D., Riedmiller, M., Sammut, C., Santos-Victor, J. (eds.): RoboCup 2004. LNCS (LNAI), vol. 3276. Springer, Heidelberg (2005)

    Google Scholar 

  8. Petrov, S.: Computer Vision, Sensorfusion und Verhaltenssteuerung für Fussball-Roboter. Master’s thesis, Freie Universität Berlin, Institut für Informatik (2004)

    Google Scholar 

  9. Treptow, A., Masselli, A., Zell, A.: Real-time object tracking for soccer-robots without color information. In: Proceedings of the European Conference on Mobile Robotics (ECMR 2003), Radziejowice, Poland (2003)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Lauer, M., Lange, S., Riedmiller, M. (2005). Modeling Moving Objects in a Dynamically Changing Robot Application. In: Furbach, U. (eds) KI 2005: Advances in Artificial Intelligence. KI 2005. Lecture Notes in Computer Science(), vol 3698. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551263_24

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  • DOI: https://doi.org/10.1007/11551263_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28761-2

  • Online ISBN: 978-3-540-31818-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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