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Time Optimal Target Following by a Mobile Vehicle

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Man-Machine Interactions

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 59))

Abstract

The paper addresses the problem of mobile robot navigation in case of moving target. The solution of such problem requires the prediction of a future location of the target and fast tracking algorithmmust be provided. In this work amethod of time optimal target tracking is presented. The proposed method is very effective and can be applied even to very simple processing unit. Results of simulations are presented to prove an efficiency of the proposed approach.

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References

  1. Aström, K., Wittenmark, B.: Computer-Controlled Systems. Prentice-Hall, Englewood Cliffs (1997)

    Google Scholar 

  2. Gass, S.: Predictive fuzzy logic controller for trajectory tracking of a mobile robot. In: Proceedings of the Mid-Summer Workshop on Soft Computing in Industrial Applications Helsinki University of Technology, Espoo, Finland (2005)

    Google Scholar 

  3. Gustafsson, F., Gunnarsson, F., Bergman, N., Forssell, U., Jansson, J., Karlsson, R., Nordlund, P.J.: Particle filters for positioning, navigation, and tracking. IEEE Transactions on Signal Processing, 425–437 (2002)

    Google Scholar 

  4. Julier, S., Uhlmann, J.: A new extension of the Kalman filter to nonlinear systems. In: Proceedings of the 11th International Symposium On Aerospace/Defence Sensing, Simulation and Controls, Orlando, US. SPIE, vol. 3068, pp. 182–193 (1997)

    Google Scholar 

  5. Liao, L., et al.: Voronoi tracking: Location estimation using sparse and noisy sensor data. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (2003)

    Google Scholar 

  6. Riley, M., Ude, A., Atkeson, C.: Methods for motion generation and interaction with a humanoid robot: Case studies of dancing and catch. In: Proceedings of the AAAI and CMU Workshop on Interactive Robotics and Entertainment, Pittsburgh, US (2000)

    Google Scholar 

  7. Skrzypczyk, K.: Robust prediction and tracking method for a mobile robot navigation. In: Proceedings of the International Supercomputing Conference, Palermo, US (2006)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Skrzypczyk, K. (2009). Time Optimal Target Following by a Mobile Vehicle. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds) Man-Machine Interactions. Advances in Intelligent and Soft Computing, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00563-3_70

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  • DOI: https://doi.org/10.1007/978-3-642-00563-3_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00562-6

  • Online ISBN: 978-3-642-00563-3

  • eBook Packages: EngineeringEngineering (R0)

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