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International Workshop on Agent Theories, Architectures, and Languages

ATAL 1998: Intelligent Agents V: Agents Theories, Architectures, and Languages pp 243–259Cite as

HEIR - A Non-hierarchical Hybrid Architecture for Intelligent Robots

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1555))

Abstract

In recent years different control architectures have been proposed for autonomous robots that are required to carry out service tasks robustly in civilian environments. In this paper a novel architecture is presented, which differs from the typical approaches from two main points of view: it is non hierarchical and it introduces an additional level of representation and reasoning based on image based, iconic descriptions. The paper will show how the proposed architecture has been implemented on a prototypical system, discuss its properties in detail and present our experimental experiences demonstrating the plausibility of the approach.

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Author information

Authors and Affiliations

  1. Department of System Communication and Computer Science, University of Genoa, Via Opera Pia 13, I-16145, Genoa, Italy

    Maurizio Piaggio

Authors
  1. Maurizio Piaggio
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Editor information

Editors and Affiliations

  1. John Wiley & Sons Ltd., International House, Ealing, London, W5 5DB, UK

    Jörg P. Müller

  2. Mitchell Madison Group, Level 49, 120 Collins St., Melbourne, Victoria, 3000, Australia

    Anand S. Rao

  3. Department of Computer Science, North Carolina State University, Raleigh, NC, 27695-8206, USA

    Munindar P. Singh

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© 1999 Springer-Verlag Berlin Heidelberg

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Piaggio, M. (1999). HEIR - A Non-hierarchical Hybrid Architecture for Intelligent Robots. In: Müller, J.P., Rao, A.S., Singh, M.P. (eds) Intelligent Agents V: Agents Theories, Architectures, and Languages. ATAL 1998. Lecture Notes in Computer Science, vol 1555. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49057-4_16

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  • DOI: https://doi.org/10.1007/3-540-49057-4_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65713-2

  • Online ISBN: 978-3-540-49057-9

  • eBook Packages: Springer Book Archive

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