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An Insect-Inspired, Decentralized Memory for Robot Navigation

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Intelligent Robotics and Applications (ICIRA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7102))

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Abstract

Navigation in animals is often discussed to require a ‘cognitive map’. Here we propose an artificial neural system that consists of a network allowing for both path integration and landmark guidance. This network is able to describe experiments with desert ants and honey bees, the latter eventually interpreted as to show the existence of a cognitive map. In contrast, our network represents a decentralized system containing procedural memory elements and a motivation network, but no “central control room” or “global neural workspace”. Its output can directly be used to control the forward movement of a robot.

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Author information

Authors and Affiliations

  1. Biological Cybernetics, and Center for Excellence CITEC, University of Bielefeld, Bielefeld, Germany

    Holk Cruse

  2. Brain Research Institute, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland

    Rüdiger Wehner

  3. Biocenter, University of Würzburg, Germany

    Rüdiger Wehner

Authors
  1. Holk Cruse
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  2. Rüdiger Wehner
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Editor information

Editors and Affiliations

  1. Lehrstuhl für Informationsmanagement im Maschinenbau, RWTH Aachen, Zentrum für Lern- und Wissensmanagement, Dennewartstraße 27, 52068, Aachen, Germany

    Sabina Jeschke

  2. School of Creative Technologies, Intelligents Systems and Biomedical Robotics Group, University of Portsmouth, Eldon Building, Winston Churchill Avenue, PO1 3QL, Portsmouth, UK

    Honghai Liu

  3. ZLW/IMA, RWTH Aachen, Dennewartstraße 27, 52068, Aachen, Germany

    Daniel Schilberg

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© 2011 Springer-Verlag Berlin Heidelberg

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Cruse, H., Wehner, R. (2011). An Insect-Inspired, Decentralized Memory for Robot Navigation. In: Jeschke, S., Liu, H., Schilberg, D. (eds) Intelligent Robotics and Applications. ICIRA 2011. Lecture Notes in Computer Science(), vol 7102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25489-5_7

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  • DOI: https://doi.org/10.1007/978-3-642-25489-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25488-8

  • Online ISBN: 978-3-642-25489-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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