Developmental Learning for Autonomous Robots
Contribuinte(s) |
Department of Computer Science Intelligent Robotics Group |
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Data(s) |
22/01/2008
22/01/2008
30/09/2007
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Resumo |
M.H. Lee, Q. Meng and F. Chao, 'Developmental Learning for Autonomous Robots', Robotics and Autonomous Systems, 55(9), pp 750-759, 2007. Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration from early infant psychology (up to three months of age) to examine how robot systems could discover the structure of their local sensory-motor spaces and learn how to coordinate these for the control of action. An experimental learning model is described and results from robotic experiments using the model are presented and discussed. Peer reviewed |
Formato |
10 |
Identificador |
Meng , Q , Lee , M & Chao , F 2007 , ' Developmental Learning for Autonomous Robots ' Robotics and Autonomous Systems , vol 55 , no. 9 , pp. 750-759 . DOI: 10.1016/j.robot.2007.05.002 PURE: 74942 PURE UUID: 7d526b46-871c-4ad1-b9ea-8d99f6ac7118 dspace: 2160/449 |
Idioma(s) |
eng |
Relação |
Robotics and Autonomous Systems |
Palavras-Chave | #Sensory-motor coordination #Developmental robotics #Early infant learning |
Tipo |
/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article |
Direitos |