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  Learning view graphs for robot navigation

Franz, M., Schölkopf, B., Georg, P., Mallot, H., & Bülthoff, H. (1997). Learning view graphs for robot navigation. In W. Johnson (Ed.), AGENTS '97: Proceedings of the first international conference on Autonomous agents (pp. 138-147). New York, NY, USA: ACM Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-EA72-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-E3CB-6
Genre: Conference Paper

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Locator:
https://dl.acm.org/doi/10.1145/267658.267687 (Publisher version)
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 Creators:
Franz, MO1, 2, Author              
Schölkopf, B1, 2, Author              
Georg, P1, 2, Author              
Mallot, HA1, 2, Author              
Bülthoff, HH1, 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: We present a purely vision-based scheme for learning a parsimonious representation of an open environment. Using simple exploration behaviours, our system constructs a graph of appropriately chosen views. To navigate between views connected in the graph, we employ a homing strategy inspired by findings of insect ethology. Simulations and robot experiments demonstrate the feasibility of the proposed approach.

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 Dates: 1997-02
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1145/267658.267687
BibTex Citekey: 358
 Degree: -

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Title: First International Conference on Autonomous Agents (AGENTS 1997)
Place of Event: Marina del Rey, CA, USA
Start-/End Date: 1997-02-05 - 1997-02-08

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Title: AGENTS '97: Proceedings of the first international conference on Autonomous agents
Source Genre: Proceedings
 Creator(s):
Johnson, WL, Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 138 - 147 Identifier: ISBN: 0-89791-877-0