Learning view graphs for robot navigation
1997
Conference Paper
ei
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.
Author(s): | Franz, MO. and Schölkopf, B. and Georg, P. and Mallot, HA. and Bülthoff, HH. |
Journal: | Proceedings of the 1st Intl. Conf. on Autonomous Agents |
Pages: | 138-147 |
Year: | 1997 |
Month: | February |
Day: | 0 |
Editors: | Johnson, W.L. |
Publisher: | ACM Press |
Department(s): | Empirical Inference |
Bibtex Type: | Conference Paper (inproceedings) |
DOI: | 10.1145/267658.267687 |
Event Name: | First International Conference on Autonomous Agents (AGENTS ’97) |
Event Place: | Marina del Rey, CA, USA |
Address: | New York, NY, USA |
ISBN: | 0-89791-877-0 |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
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BibTex @inproceedings{Franzetal1997, title = {Learning view graphs for robot navigation}, author = {Franz, MO. and Sch{\"o}lkopf, B. and Georg, P. and Mallot, HA. and B{\"u}lthoff, HH.}, journal = {Proceedings of the 1st Intl. Conf. on Autonomous Agents}, pages = {138-147}, editors = {Johnson, W.L.}, publisher = {ACM Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {New York, NY, USA}, month = feb, year = {1997}, doi = {10.1145/267658.267687}, month_numeric = {2} } |