DocumentCode :
1576776
Title :
Learning to react to abstractions: Accumulating adaptations in a humanoid embodiment
Author :
Larcombe, Christopher ; Morse, Anthony ; Cangelosi, Angelo
Author_Institution :
Sch. of Comput. & Math., Univ. of Plymouth, Plymouth, UK
Volume :
2
fYear :
2011
Firstpage :
1
Lastpage :
8
Abstract :
Human beings and several other living organisms are capable of acquiring a diverse repertoire of adaptive behaviours or skills, through interaction with an appropriate environment. Based on observations of human embodiment and existing cybernetic theory, an operational description of this form of `scalable´ adaptive behaviour is derivied. An articulated mechanism using the principles identified is implemented and used to control the humanoid robot iCub. The experimental physical embodiment is tested with a number of environments. Preliminary results demonstrate a limited form of emergent behavioural growth and corresponding `task´-non-specificity: the iCub is able to cumulatively learn multiple `tasks´, by chaining together sequences of primative `reactions´, to `abstractions´.
Keywords :
humanoid robots; learning (artificial intelligence); abstraction learning; articulated mechanism; cybernetic theory; iCub humanoid robot; robot abstraction; robot reaction; scalable adaptive robot behaviour; Green products;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Development and Learning (ICDL), 2011 IEEE International Conference on
Conference_Location :
Frankfurt am Main
ISSN :
2161-9476
Print_ISBN :
978-1-61284-989-8
Type :
conf
DOI :
10.1109/DEVLRN.2011.6037350
Filename :
6037350
Link To Document :
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