English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  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, & R. Gallinari (Eds.), Conférence Internationale sur les Réseaux de Neurones Artificiels (ICANN 1995) (pp. 381-386). Paris, France: EC2.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-EC58-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-558C-C
Genre: Conference Paper

Files

show Files
hide Files
:
pdf668.pdf (Any fulltext), 194KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0005-F592-1
Name:
pdf668.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Creators

show
hide
 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              

Content

show
hide
Free keywords: -
 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.

Details

show
hide
Language(s):
 Dates: 1995-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 668
 Degree: -

Event

show
hide
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

Legal Case

show

Project information

show

Source 1

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