• DocumentCode
    2955054
  • Title

    Hebbian learning of visually directed reaching by a robot arm

  • Author

    Wang, Yiwen ; Wu, Tinggan ; Orchard, Garrick ; Dudek, Piotr ; Rucci, Michele ; Shi, Bertram E.

  • Author_Institution
    Hong Kong Univ. of Sci. & Technol., Kowloon, China
  • fYear
    2009
  • fDate
    26-28 Nov. 2009
  • Firstpage
    205
  • Lastpage
    208
  • Abstract
    We describe a robotic system consisting of an arm and an active vision system learns to align its sensory and motor maps so that it can successfully reach the tip of its arm to touch the point where it is looking. This system uses an unsupervised Hebbian learning algorithm, and learns the alignment by watching its arm waving in front of its eyes. After watching for 25 minutes, the maps are sufficiently well aligned that it can execute the desired behavior.
  • Keywords
    Hebbian learning; medical robotics; active vision system; motor maps; robot arm; sensory alignment; time 25 min; unsupervised Hebbian learning algorithm; visually directed reaching; Cameras; Eyes; Head; Hebbian theory; Light emitting diodes; Machine vision; Robot kinematics; Robot sensing systems; Robot vision systems; Supervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference, 2009. BioCAS 2009. IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4917-0
  • Electronic_ISBN
    978-1-4244-4918-7
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2009.5372049
  • Filename
    5372049
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2955054