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Sensor Based Intelligent Robots pp 49–67Cite as

Interactive Learning of World Model Information for a Service Robot

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1724))

Abstract

In this paper, the problem of generating a suitable environment model for a service robot is addressed. For a service robot to be commercially attractive, it is important that it has a high degree of flexibility and that it can be installed without expert assistance. This means that the representations for doing planning and execution of tasks must be taught on-line and on-site by the user. Here a solution is proposed where the user interactively teaches the robot its representations, using the robot’s existing navigation and perception modules. Based on a context adaptive architecture and purposive sensing modules it is shown how compact, symbolic representations sufficient for planning and robust execution of tasks can be generated.

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Author information

Authors and Affiliations

  1. Intelligent Systems Group, Daimler-Benz Research and Technology, Alt-Moabit 96A, D-10559, Berlin, Germany

    Steen Kristensen, Volker Hansen, Sven Horstmann, Jesko Klandt, Konstantin Kondak, Frieder Lohnert & Andreas Stopp

Authors
  1. Steen Kristensen
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  2. Volker Hansen
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  3. Sven Horstmann
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  4. Jesko Klandt
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  5. Konstantin Kondak
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  6. Frieder Lohnert
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  7. Andreas Stopp
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Editor information

Editors and Affiliations

  1. GVU Center & School of Interactive Computing, College of Computing, Georgia Institute of Technology, 30308, Atlanta, GA, USA

    Henrik I. Christensen

  2. Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Neubrückstr. 10, 3012, Bern, Switzerland

    Horst Bunke

  3. Department of Computer Science, University of Würzburg, P.O. Box, D-91405, Würzburg, Germany

    Hartmut Noltemeier

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© 1999 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kristensen, S. et al. (1999). Interactive Learning of World Model Information for a Service Robot. In: Christensen, H.I., Bunke, H., Noltemeier, H. (eds) Sensor Based Intelligent Robots. Lecture Notes in Computer Science(), vol 1724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10705474_4

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  • DOI: https://doi.org/10.1007/10705474_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66933-3

  • Online ISBN: 978-3-540-46619-2

  • eBook Packages: Springer Book Archive

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