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The construction and acquisition of visual categories

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Learning Robots (EWLR 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1545))

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Abstract

The paper proposes a selectionist architecture for the construction and acquisition of visual categories by a robotic agent. The components of this architecture are described in some detail and results from experiments on physical robots are reported.

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References

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Author information

Authors and Affiliations

  1. Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium

    Tony Belpaeme, Joris Van Looveren & Luc Steels

  2. Sony Computer Science Laboratory, Paris, France

    Luc Steels

Authors
  1. Tony Belpaeme
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  2. Joris Van Looveren
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  3. Luc Steels
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Editor information

Editors and Affiliations

  1. Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Pleinlaan 2, B-1050, Brussels, Belgium

    Andreas Birk

  2. Department of Artificial Intelligence, University of Edinburgh, 5 Forrest Hill, Edinburgh, EH1 2QL, Scotland, UK

    John Demiris

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© 1998 Springer-Verlag Berlin Heidelberg

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Cite this paper

Belpaeme, T., Van Looveren, J., Steels, L. (1998). The construction and acquisition of visual categories. In: Birk, A., Demiris, J. (eds) Learning Robots. EWLR 1997. Lecture Notes in Computer Science(), vol 1545. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49240-2_1

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  • DOI: https://doi.org/10.1007/3-540-49240-2_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65480-3

  • Online ISBN: 978-3-540-49240-5

  • eBook Packages: Springer Book Archive

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