• DocumentCode
    3070065
  • Title

    The AirBurr: A flying robot that can exploit collisions

  • Author

    Briod, Adrien ; Klaptocz, Adam ; Zufferey, Jean-Christophe ; Floreano, Dario

  • Author_Institution
    Lab. of Intell. Syst., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
  • fYear
    2012
  • fDate
    1-4 July 2012
  • Firstpage
    569
  • Lastpage
    574
  • Abstract
    Research made over the past decade shows the use of increasingly complex methods and heavy platforms to achieve autonomous flight in cluttered environments. However, efficient behaviors can be found in nature where limited sensing is used, such as in insects progressing toward a light at night. Interestingly, their success is based on their ability to recover from the numerous collisions happening along their imperfect flight path. The goal of the AirBurr project is to take inspiration from these insects and develop a new class of flying robots that can recover from collisions and even exploit them. Such robots are designed to be robust to crashes and can take-off again without human intervention. They navigate in a reactive way, bump into obstacles, and unlike conventional approaches, they don´t need heavy modeling in order to fly autonomously. We believe that this new paradigm will bring flying robots out of the laboratory and allow them to tackle unstructured, cluttered environments. This paper aims at presenting the vision of the AirBurr project, as well as the latest results in the design of a platform capable of sustaining collisions and self-recovering after crashes.
  • Keywords
    aerospace robotics; collision avoidance; mobile robots; AirBurr; autonomous flight; cluttered environment; collision recovery; flying robot; Collision avoidance; Integrated optics; Mobile robots; Navigation; Optical sensors; Robot sensing systems; Robust bio-inspired indoor flying robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering (CME), 2012 ICME International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-1617-0
  • Type

    conf

  • DOI
    10.1109/ICCME.2012.6275674
  • Filename
    6275674