• DocumentCode
    1837674
  • Title

    Implementation of a drosophila-inspired orientation model on the Eye-Ris platform

  • Author

    Alba, L. ; Arena, P. ; De Fiore, S. ; Patane, L. ; Strauss, R. ; Vagliasindi, G.

  • Author_Institution
    Inst. f. Zool. Ill - Neurobiol., Univ. of Mainz, Mainz, Germany
  • fYear
    2010
  • fDate
    3-5 Feb. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A behavioral model, recently derived from experiments on fruit-flies, was implemented, with successful comparative experiments on orientation control in real robots. This model has been firstly implemented in a standard CNN structure, using an algorithm based on classical, space-invariant templates. Subsequently, the Eye-Ris platform was utilised for the implementation of the whole strategy, at the aim to constitute a stand alone smart sensor for orientation control in bio-inspired robotic platforms. The Eye-Ris vl.2 is a visual system, made by Anafocus, that employs a fully-parallel mixed-signal array sensor-processor chip. Some experiments are reported using a commercial roving platform, the Pioneer P3-AT, showing the reliability of the proposed implementation and usefulness in higher level perceptual tasks.
  • Keywords
    attitude control; cellular neural nets; eye; image motion analysis; intelligent sensors; microprocessor chips; robot vision; CNN structure; Drosophila-inspired orientation model; Eye-Ris platform; bio-inspired robotic platform; fruit flies; image motion; mixed signal array sensor processor chip; orientation control; space-invariant template; Cellular networks; Cellular neural networks; Detectors; Low pass filters; Motion detection; Motion estimation; Orbital robotics; Robots; Sensor arrays; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-1-4244-6679-5
  • Type

    conf

  • DOI
    10.1109/CNNA.2010.5430286
  • Filename
    5430286