Show simple item record Lee, Mark Meng, Qinggang Chao, Fei 2008-01-22T16:29:59Z 2008-01-22T16:29:59Z 2007
dc.identifier.citation Lee , M , Meng , Q & Chao , F 2007 , ' Staged Competence Learning in Developmental Robotics ' Adaptive Behavior , vol. 15 , no. 3 , pp. 241-255 . en
dc.identifier.issn 1741-2633
dc.identifier.other PURE: 74966
dc.identifier.other PURE UUID: 8a244e78-bb05-4a54-816c-fb0f12dc80bf
dc.identifier.other dspace: 2160/448
dc.identifier.other DSpace_20121128.csv: row: 349
dc.identifier.other Scopus: 34548150032
dc.identifier.other 2160/448
dc.description M.H. Lee, Q. Meng and F. Chao, 'Staged Competence Learning in Developmental Robotics', Adaptive Behavior, 15(3), pp 241-255, 2007. the full text will be available in September 2008 en
dc.description.abstract Developmental psychology has long recognized the presence of stages in human cognitive development, although the underlying causes and processes are still an open question and subject to much debate. This article draws inspiration from psychology and describes an approach towards developmental growth for robotics that utilizes natural constraints in a general learning mechanism. The method, summarized as Lift-Constraint, Act, Saturate (LCAS), is applicable to all levels of control and behavior, and can be implemented in any robotic configuration. An implementation based on sensory-motor learning in early infancy is described and the results from experiments are presented and discussed. en
dc.format.extent 15 en
dc.language.iso eng
dc.relation.ispartof Adaptive Behavior en
dc.rights en
dc.subject developmental robotics en
dc.subject sensory-motor control en
dc.subject constraint-based learning en
dc.title Staged Competence Learning in Developmental Robotics en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
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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