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A Neural Model for the Visual Navigation and Planning of a Mobile Robot

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Advances in Artificial Life (ECAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1674))

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Abstract

We present a neural model for the control of an animat. The model is based on two structures. The first one enables visual navigation using landmarks. It may be used in unknown and changing environments. The second structure enables building a proximity map of the environment. Using this map, an animat may successfully reach different goals linked to different motivations and solve various types of action selection problems.

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Author information

Authors and Affiliations

  1. Université de Cergy-Pontoise - ETIS, 6, av. du ponceau, 95014, Cergy-Pontoise Cedex, France

    Mathias Quoy, Philippe Gaussier & Sacha Leprêtre

  2. Ecole Nationale Supérieure de l’Electronique et de ses Applications, France

    Arnaud Revel

Authors
  1. Mathias Quoy
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  2. Philippe Gaussier
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  3. Sacha Leprêtre
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  4. Arnaud Revel
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Editor information

Editors and Affiliations

  1. Laboratory of Microprocessors and Interfaces (LAMI) Department of Computer Science, Swiss Federal Institute of Technology (EPFL), CH-1015, Lausanne, Switzerland

    Dario Floreano , Jean-Daniel Nicoud  & Francesco Mondada ,  & 

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© 1999 Springer-Verlag Berlin Heidelberg

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Quoy, M., Gaussier, P., Leprêtre, S., Revel, A. (1999). A Neural Model for the Visual Navigation and Planning of a Mobile Robot. In: Floreano, D., Nicoud, JD., Mondada, F. (eds) Advances in Artificial Life. ECAL 1999. Lecture Notes in Computer Science(), vol 1674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48304-7_41

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  • DOI: https://doi.org/10.1007/3-540-48304-7_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66452-9

  • Online ISBN: 978-3-540-48304-5

  • eBook Packages: Springer Book Archive

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