Staged Competence Learning in Developmental Robotics
Contribuinte(s) |
Department of Computer Science Intelligent Robotics Group |
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Data(s) |
22/01/2008
22/01/2008
2007
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Resumo |
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 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. Peer reviewed |
Formato |
15 |
Identificador |
Lee , M , Meng , Q & Chao , F 2007 , ' Staged Competence Learning in Developmental Robotics ' Adaptive Behavior , vol 15 , no. 3 , pp. 241-255 . DOI: 10.1177/1059712307082085 1741-2633 PURE: 74966 PURE UUID: 8a244e78-bb05-4a54-816c-fb0f12dc80bf dspace: 2160/448 |
Idioma(s) |
eng |
Relação |
Adaptive Behavior |
Palavras-Chave | #developmental robotics #sensory-motor control #constraint-based learning |
Tipo |
/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article |
Direitos |