A Neural Model for the Visual Navigation and Planning of a Mobile Robot View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1999

AUTHORS

Mathias Quoy , Philippe Gaussier , Sacha Leprêtre , Arnaud Revel

ABSTRACT

We present a neural model for the control of an animat. The model is based on two structures. The first one enables visual navigation using landmarks. It may be used in unknown and changing environments. The second structure enables building a proximity map of the environment. Using this map, an animat may successfully reach different goals linked to different motivations and solve various types of action selection problems. More... »

PAGES

319-323

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-48304-7_41

DOI

http://dx.doi.org/10.1007/3-540-48304-7_41

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003235769


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