• DocumentCode
    2778140
  • Title

    Learning skills from play: Artificial curiosity on a Katana robot arm

  • Author

    Ngo, Hung ; Luciw, Matthew ; Forster, Alexander ; Schmidhuber, Juergen

  • Author_Institution
    IDSIA, SUPSI, Manno-Lugano, Switzerland
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Artificial curiosity tries to maximize learning progress. We apply this concept to a physical system. Our Katana robot arm curiously plays with wooden blocks, using vision, reaching, and grasping. It is intrinsically motivated to explore its world. As a by-product, it learns how to place blocks stably, and how to stack blocks.
  • Keywords
    control engineering computing; learning (artificial intelligence); manipulators; robot vision; Katana robot arm; artificial curiosity; block stacking; grasping; learning progress; learning skills; physical system; reaching; vision; wooden block; Adaptation models; Cameras; Feature extraction; Robot kinematics; Robot sensing systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2012 International Joint Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-1488-6
  • Electronic_ISBN
    2161-4393
  • Type

    conf

  • DOI
    10.1109/IJCNN.2012.6252824
  • Filename
    6252824