• DocumentCode
    3517503
  • Title

    Estimating attitude and wind velocity using biomimetic sensors on a microrobotic bee

  • Author

    Fuller, Sawyer B. ; Sands, Alexander ; Haggerty, Andreas ; Karpelson, Michael ; Wood, Robert J.

  • Author_Institution
    Sch. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
  • fYear
    2013
  • fDate
    6-10 May 2013
  • Firstpage
    1374
  • Lastpage
    1380
  • Abstract
    This paper discusses recent developments in sensors for the Harvard RoboBee. The RoboBee is a sub-100 mg flapping-wing micro-aerial vehicle that is able to lift its own weight under external power, but, like flying insects, is unstable in flight without active feedback. We discuss design and characterization of two low-latency insect-inspired sensors for flight control: an antenna to sense airspeed and light-sensing ocelli to estimate attitude angle relative to a luminous sky. We demonstrate accurate wind velocity estimation in a wind tunnel despite the effect of nearby flapping wings.We also demonstrate pitch angle control using the ocelli on a wire-mounted RoboBee that is free to rotate about its pitch axis. These flight-weight sensors are essential first steps toward autonomous upright stability and controlled forward motions.
  • Keywords
    aerospace control; aircraft antennas; attitude measurement; autonomous aerial vehicles; biomimetics; microrobots; motion control; sensors; stability; velocity control; wind tunnels; Harvard RoboBee; active feedback; airspeed sense; attitude angle estimation; autonomous upright stability; biomimetic sensors; controlled forward motions; flapping-wing microaerial vehicle; flight control; flight-weight sensors; light-sensing ocelli; low-latency insect-inspired sensors; luminous sky; microrobotic bee; wind tunnel; wind velocity estimation; wire-mounted RoboBee; Antennas; Calibration; Insects; Light sources; Lighting; Phototransistors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2013 IEEE International Conference on
  • Conference_Location
    Karlsruhe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-5641-1
  • Type

    conf

  • DOI
    10.1109/ICRA.2013.6630750
  • Filename
    6630750