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Learning Place Cells from Sonar Data

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Ollington, R and Vamplew, P (2004) Learning Place Cells from Sonar Data. In: AISAT2004: International Conference on Artificial Intelligence in Science and Technology, 21-25 November 2004, Hobart, Tasmania, Australia.

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Abstract

A place cell system is developed that is able to provide robust localisation using simple sonar information only. The system uses egocentric view cells, based on the Adaptive Response Function Neuron, as sensory input to correct for path integration errors. The major advantage of this system is that place field centres are fixed prior to training, allowing downstream navigational systems to make relevant predictions immediately upon entering a new environment.

Item Type: Conference or Workshop Item (Paper)
Keywords: robot localisation, robot navigation, sonars, place cells, view cells, dead reckoning, path integration
Page Range: pp. 126-131
Date Deposited: 26 Nov 2004
Last Modified: 18 Nov 2014 03:10
URI: http://eprints.utas.edu.au/id/eprint/105
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