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The view-graph approach to visual navigation and spatial memory

  • Hanspeter A. Mallot
  • Matthias Franz
  • Bernhard Schälkopf
  • Heinrich H. Bülthoff
Part V: Robotics, Adaptive Autonomous Agents, and Control
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)

Abstract

This paper describes a purely visual navigation scheme based on two elementary mechanisms (piloting and guidance) and a graph structure combining individual navigation steps controlled by these mechanisms. In robot experiments in real environments, both mechanisms have been tested, piloting in an open environment and guidance in a maze with restricted movement opportunities. The results indicate that navigation and path planning can be brought about with these simple mechanisms. We argue that the graph of local views (snapshots) is a general and biologically plausible means of representing space and integrating the various mechanisms of map behaviour.

Keywords

Path Planning Path Integration View Graph Visual Navigation Robot Experiment 
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 1997

Authors and Affiliations

  • Hanspeter A. Mallot
    • 1
  • Matthias Franz
    • 1
  • Bernhard Schälkopf
    • 1
  • Heinrich H. Bülthoff
    • 1
  1. 1.Max-Planck-Institut für biologische KybernetikTübingenGermany

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