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Perceptual Anchoring: A Key Concept for Plan Execution in Embedded Systems

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Book cover Advances in Plan-Based Control of Robotic Agents

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2466))

Abstract

Anchoring is the process of creating and maintaining the correspondence between symbols and percepts that refer to the same physical objects. This process must necessarily be present in any physically embedded system that includes a symbolic component, for instance, in an autonomous robot that uses a planner to generate strategic decisions. However, no systematic study of anchoring as a problem per se has been reported in the literature on intelligent systems. In this paper, we advocate for the need for a domain-independent framework to deal with the anchoring problem, and we report some initial steps in this direction. We illustrate our arguments and framework by showing experiments performed on a real mobile robot.

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Author information

Authors and Affiliations

  1. Center for Applied Autonomous Sensor Systems Dept. of Technology, Örebro University, S-70182, Örebro, Sweden

    Silvia Coradeschi & Alessandro Saffiotti

Authors
  1. Silvia Coradeschi
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  2. Alessandro Saffiotti
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Editor information

Editors and Affiliations

  1. Institut für Informatik IX, Technische Universität München, Orleansstr. 34, 81667, München, Germany

    Michael Beetz

  2. Fraunhofer-Institut, Autonome Intelligente Systeme (AIS), Schloss Birlinghoven, 53754, Sankt Augustin, Germany

    Joachim Hertzberg

  3. LAAS-CNRS, 7, Avenue du Colonel Roche, 31077, Toulouse cedex, France

    Malik Ghallab

  4. College of Engineering Dept. of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48019, USA

    Martha E. Pollack

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© 2002 Springer-Verlag Berlin Heidelberg

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Coradeschi, S., Saffiotti, A. (2002). Perceptual Anchoring: A Key Concept for Plan Execution in Embedded Systems. In: Beetz, M., Hertzberg, J., Ghallab, M., Pollack, M.E. (eds) Advances in Plan-Based Control of Robotic Agents. Lecture Notes in Computer Science(), vol 2466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-37724-7_6

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  • DOI: https://doi.org/10.1007/3-540-37724-7_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00168-3

  • Online ISBN: 978-3-540-37724-5

  • eBook Packages: Springer Book Archive

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