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

Authors:
Mathias Quoy;Philippe Gaussier;Sacha Leprêtre;Arnaud Revel
Affiliations:
-;-;-;-
Venue:
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Year:
1999

Citing 0
Cited 2

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Map-based navigation in mobile robots

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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.