Learning View Graphs for Robot Navigation
1996
Technical Report
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, M. and Schölkopf, B. and Georg, P. and Mallot, HA. and Bülthoff, HH. |
Number (issue): | 33 |
Year: | 1996 |
Month: | July |
Day: | 0 |
Department(s): | Empirical Inference |
Bibtex Type: | Technical Report (techreport) |
Institution: | Max Planck Institute for Biological Cybernetics, Tübingen, |
Digital: | 0 |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
BibTex @techreport{1497, title = {Learning View Graphs for Robot Navigation}, author = {Franz, M. and Sch{\"o}lkopf, B. and Georg, P. and Mallot, HA. and B{\"u}lthoff, HH.}, number = {33}, organization = {Max-Planck-Gesellschaft}, institution = {Max Planck Institute for Biological Cybernetics, Tübingen,}, school = {Biologische Kybernetik}, month = jul, year = {1996}, doi = {}, month_numeric = {7} } |