Infants and iCubs: Applying Developmental Psychology to Robot Shaping

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dc.contributor.author Law, James
dc.contributor.author Lee, Mark
dc.contributor.author Hülse, Martin
dc.contributor.author Shaw, Patricia
dc.date.accessioned 2012-01-16T09:31:12Z
dc.date.available 2012-01-16T09:31:12Z
dc.date.issued 2012-12-22
dc.identifier.citation Law , J , Lee , M , Hülse , M & Shaw , P 2012 , ' Infants and iCubs: Applying Developmental Psychology to Robot Shaping ' Procedia Computer Science , vol 7 , pp. 272-274 . en
dc.identifier.issn 1877-0509
dc.identifier.other PURE: 1188510
dc.identifier.other dspace: 2160/7740
dc.identifier.uri http://hdl.handle.net/2160/7740
dc.description James Law, Mark Lee, Martin Huelse, Patricia Shaw. Infants and iCubs: Applying Developmental Psychology to Robot Shaping, Procedia Computer Science, Volume 7, Pages 272-274, 2011. en
dc.description.abstract Achieving sentient robots will not only require understanding of neuro-models that generate behaviour from structure, but will also need research into the role of development, that is how behaviour determines structure. We emphasise infant sensory-motor development and identify an explicit framework that can guide the design of similar developmental processes in robotics. We show how human development sequences can be mapped on to robotic platforms and how constraints on perception and action can be utilised so that staged behaviour and learning may take place. The growth of increasing competence can be managed by this method of unsupervised shaping by constraints. en
dc.format.extent 3 en
dc.language.iso eng
dc.relation.ispartof Procedia Computer Science en
dc.subject autonomous robots en
dc.subject unsupervised shaping en
dc.subject developmental learning en
dc.title Infants and iCubs: Applying Developmental Psychology to Robot Shaping en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.identifier.doi http://dx.doi.org/10.1016/j.procs.2011.09.034
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Peer reviewed en


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