• DocumentCode
    2977953
  • Title

    Convolutional network for vergence control

  • Author

    Chumerin, Nikolay ; Gibaldi, Agostino ; Sabatini, Silvio P. ; Van Hulle, Marc M.

  • Author_Institution
    Lab. voor Neuro- en Psychofysiologie, Katholieke Univ. Leuven, Leuven, Belgium
  • fYear
    2009
  • fDate
    24-27 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We present a biologically-inspired model for the one-shot vergence control of a robotic head, which has been used for an investigation of two vergence control networks. Both networks do not work with explicitly computed disparity, but extract the vergence control signal from the postprocessed response of a population of disparity tuned complex cells, the actual gaze direction and the actual vergence angle. Training and evaluation of the networks are also discussed.
  • Keywords
    neurocontrollers; position control; robots; convolutional network; gaze direction; one-shot vergence control; robotic head; tuned complex cells; vergence angle; Biological control systems; Convolution; Data mining; Detectors; Engines; Head; Laboratories; Layout; Ray tracing; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Sciences in Biomedical and Communication Technologies, 2009. ISABEL 2009. 2nd International Symposium on
  • Conference_Location
    Bratislava
  • Print_ISBN
    978-1-4244-4640-7
  • Electronic_ISBN
    978-1-4244-4641-4
  • Type

    conf

  • DOI
    10.1109/ISABEL.2009.5373674
  • Filename
    5373674
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2977953