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A Behavior Architecture for Autonomous Mobile Robots Based on Potential Fields

  • Tim Laue
  • Thomas Röfer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3276)

Abstract

This paper describes a behavior-based architecture which integrates existing potential field approaches concerning motion planning as well as the evaluation and selection of actions into a single architecture. This combination allows, together with the concept of competing behaviors, the specification of more complex behaviors than the usual approach which is focusing on behavior superposition and is mostly dependent on additional external mechanisms. The architecture and all methods presented in this paper have been implemented and applied to different robots.

Keywords

Mobile Robot Motion Planning Obstacle Avoidance Motion Behavior Object Instance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Tim Laue
    • 1
  • Thomas Röfer
    • 1
  1. 1.Bremer Institut für Sichere Systeme, Technologie-Zentrum Informatik, FB 3Universität BremenBremenGermany

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