• DocumentCode
    2090949
  • Title

    Unification of neural systems between human and humanoid robot

  • Author

    Choi, Bongjae ; Jo, Sungho

  • Author_Institution
    School of Computing, Korean Advanced Institute of Science and Technology (KAIST), Daejeon, 305-701, South Korea
  • fYear
    2015
  • fDate
    May 31 2015-June 3 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes a novel cognitive neurobotics approach that makes it possible for a humanoid robot to perform one of several behaviors by reading the intentions of the user via brain signals. The biological neural system of a human generates brain signals during cognitive processes. An artificial neural system, part of our BCI system, translates the brain signal into the intentions of the user. Another artificial neural system of a humanoid robot controls its behavior based on visual perception and the user´s intention. Furthermore, we designed a robotic experiment to investigate our approach. Experimental results demonstrate that the unification of neural systems enables the robot to connect with the biological neural system of a user.
  • Keywords
    Brain modeling; Electroencephalography; Humanoid robots; Robot sensing systems; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2015 10th Asian
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Type

    conf

  • DOI
    10.1109/ASCC.2015.7244732
  • Filename
    7244732