• DocumentCode
    3096814
  • Title

    Aerial robot piloted in steep relief by optic flow sensors

  • Author

    Ruffier, Franck ; Franceschini, Nicolas

  • Author_Institution
    Biorobotics Dept., Univ. of the Mediterranean, Marseille
  • fYear
    2008
  • fDate
    22-26 Sept. 2008
  • Firstpage
    1266
  • Lastpage
    1273
  • Abstract
    We have developed a new vision based autopilot able to make a micro-air vehicle automatically navigate in steep relief. It uses onboard Optic Flow sensors inspired by the housefly´s Elementary Motion Detectors (EMDs) that were previously investigated at our Laboratory with electrophysiological and micro-optical techniques. The paper investigates how the ground avoidance performances of the former OCTAVE robot could be enhanced to cope with steep relief. The idea is to combine frontal and ventral OF sensors and to merge feedback and feedforward loops. In the new robot, called OCTAVE(2), a feedback loop adjusts the lift so as to keep the ventral OF constant, while a feedforward loop based on a forward looking EMD sensor serves to anticipate the steep relief. We test the new autopilot on a 100-gram tethered rotorcraft that circles indoors over an environment composed of contrasting features randomly arranged on the floor. We show that OCTAVE(2) succeeds in following a relatively steep relief (maximum slope 17deg) while navigating close to the ground (groundheight in the order of lm). This risky task is performed thanks to a minimalist electronic visual system: the OF sensor suite is lightweight (4.3-grams including the lenses), and is therefore mounted onboard.
  • Keywords
    aerospace robotics; feedforward; helicopters; image sensors; optical sensors; OCTAVE robots; aerial robot; autopilots; electrophysiological techniques; elementary motion detectors; microair vehicles; microoptical techniques; onboard optic flow sensors; optic flow sensors; steep reliefs; Feedforward neural networks; Optical feedback; Optical sensors; Robot sensing systems; Robots; Sensors; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-2057-5
  • Type

    conf

  • DOI
    10.1109/IROS.2008.4651089
  • Filename
    4651089