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Multi-Agent Navigation Using Path-Based Vector Fields

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Multiagent System Technologies (MATES 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5774))

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Abstract

We present an approach to multi-agent navigation, that is based on generating potential-fields from A*-paths. We will introduce and compare two algorithms: 1) a geometrical algorithm that is based on quads, and 2) an images-based algorithm. We show empirically that the images-based algorithm is more memory-consuming, but has better performance.

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Author information

Authors and Affiliations

  1. Department of Informatics, Clausthal University of Technology, Julius-Albert-Straße 4, 38678, Clausthal, Germany

    Tristan Behrens, Randolf Schärfig & Tim Winkler

Authors
  1. Tristan Behrens
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  2. Randolf Schärfig
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  3. Tim Winkler
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Editor information

Editors and Affiliations

  1. Distributed Systems and Information Systems, Computer Science Department, University of Hamburg, Hamburg, Germany

    Lars Braubach

  2. University of Liverpool, United Kingdom

    Wiebe van der Hoek

  3. Austrian Research Institute for Artificial Intelligence (OFAI), Freyung 6/6, A-1010, Vienna, Austria

    Paolo Petta

  4. Distributed Systems and Information Systems, University of Hamburg, Hamburg, Germany

    Alexander Pokahr

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© 2009 Springer-Verlag Berlin Heidelberg

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Behrens, T., Schärfig, R., Winkler, T. (2009). Multi-Agent Navigation Using Path-Based Vector Fields. In: Braubach, L., van der Hoek, W., Petta, P., Pokahr, A. (eds) Multiagent System Technologies. MATES 2009. Lecture Notes in Computer Science(), vol 5774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04143-3_2

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  • DOI: https://doi.org/10.1007/978-3-642-04143-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04142-6

  • Online ISBN: 978-3-642-04143-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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