View-based cognitive map learning by an autonomous robot
1995
Conference Paper
ei
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.
Author(s): | Mallot, HA. and Bülthoff, HH. and Georg, P. and Schölkopf, B. and Yasuhara, K. |
Book Title: | Proceedings International Conference on Artificial Neural Networks, vol. 2 |
Journal: | Proceedings International Conference on Artificial Neural Networks (ICANN |
Pages: | 381-386 |
Year: | 1995 |
Month: | October |
Day: | 0 |
Editors: | Fogelman-Soulié, F. |
Publisher: | EC2 |
Department(s): | Empirische Inferenz |
Bibtex Type: | Conference Paper (inproceedings) |
Event Name: | Conférence Internationale sur les Réseaux de Neurones Artificiels (ICANN ’95) |
Event Place: | Paris, France |
Address: | Paris, France |
Digital: | 0 |
ISBN: | 2-910085-18-X |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
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BibTex @inproceedings{668, title = {View-based cognitive map learning by an autonomous robot}, author = {Mallot, HA. and B{\"u}lthoff, HH. and Georg, P. and Sch{\"o}lkopf, B. and Yasuhara, K.}, journal = {Proceedings International Conference on Artificial Neural Networks (ICANN}, booktitle = {Proceedings International Conference on Artificial Neural Networks, vol. 2}, pages = {381-386}, editors = {Fogelman-Soulié, F.}, publisher = {EC2}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Paris, France}, month = oct, year = {1995}, doi = {}, month_numeric = {10} } |