• 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