creators_name: Vitay, Julien editors_name: Berthouze, Luc editors_name: Kaplan, Frédéric editors_name: Kozima, Hideki editors_name: Yano, Hiroyuki editors_name: Konczak, Jürgen editors_name: Metta, Giorgio editors_name: Nadel, Jacqueline editors_name: Sandini, Giulio editors_name: Stojanov, Georgi editors_name: Balkenius, Christian type: confpaper datestamp: 2006-07-23 lastmod: 2011-03-11 08:56:30 metadata_visibility: show title: Towards Teaching a Robot to Count Objects ispublished: pub subjects: comp-sci-mach-learn subjects: comp-sci-neural-nets subjects: comp-sci-robot full_text_status: public keywords: object counting task, continuum neural field theory, dynamical attention switching, sequence learning, PeopleBot robot abstract: We present here an example of incremental learning between two computational models dealing with different modalities: a model allowing to switch spatial visual attention and a model allowing to learn the ordinal sequence of phonetical numbers. Their merging via a common reward signal allows anyway to produce a cardinal counting behaviour that can be implemented on a robot. date: 2005 date_type: published volume: 123 publisher: Lund University Cognitive Studies pagerange: 125-128 refereed: TRUE citation: Vitay, Julien (2005) Towards Teaching a Robot to Count Objects. [Conference Paper] document_url: http://cogprints.org/4985/1/vitay.pdf