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  View-based cognitive map learning by an autonomous robot

Mallot, H., Bülthoff, H., Georg, P., Schölkopf, B., & Yasuhara, K. (1995). View-based cognitive map learning by an autonomous robot. In F. Fogelman-Soulié (Ed.), Conférence Internationale sur les Réseaux de Neurones Artificiels (ICANN 1995) (pp. 381-386). Paris, France: EC2.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-EC58-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-F591-2
Genre: Conference Paper

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 Creators:
Mallot, HA1, 2, Author              
Bülthoff, HH1, 2, Author              
Georg, P1, 2, Author              
Schölkopf, B1, 2, Author              
Yasuhara, K1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: This paper presents a view-based approach to map learning and navigation in mazes. By means of graph theory we have shown that the view-graph is a sufficient representation for map behaviour such as path planning. A neural network for unsupervised learning of the view-graph from sequences of views is constructed. We use a modified Kohonen (1988) learning rule that transforms temporal sequence (rather than featural similarity) into connectedness. In the main part of the paper, we present a robot implementation of the scheme. The results show that the proposed network is able to support map behaviour in simple environments.

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 Dates: 1995-10
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: BibTex Citekey: 668
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Title: Conférence Internationale sur les Réseaux de Neurones Artificiels (ICANN 1995)
Place of Event: Paris, France
Start-/End Date: 1995-10-09 - 1995-10-13

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Title: Conférence Internationale sur les Réseaux de Neurones Artificiels (ICANN 1995)
Source Genre: Proceedings
 Creator(s):
Fogelman-Soulié, F, Editor
Affiliations:
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Publ. Info: Paris, France : EC2
Pages: 597 Volume / Issue: - Sequence Number: - Start / End Page: 381 - 386 Identifier: ISBN: 2-910085-18-X