• DocumentCode
    2699825
  • Title

    Grasping from the air: Hovering capture and load stability

  • Author

    Pounds, Paul E.I. ; Bersak, Daniel R. ; Dollar, Aaron M.

  • Author_Institution
    Dept. of Mech. Eng. & Mater. Sci., Yale Univ., New Haven, CT, USA
  • fYear
    2011
  • fDate
    9-13 May 2011
  • Firstpage
    2491
  • Lastpage
    2498
  • Abstract
    This paper reports recent research efforts to advance the functionality of Unmanned Aerial Vehicles (UAVs) beyond passive observation to active interaction with and manipulation of objects. The archetypical aerial manipulation task - grasping objects during flight - is difficult due to the unstable dynamics of rotorcraft and coupled object-aircraft motion. In this paper, we analyze key challenges encountered when lifting a grasped object and transitioning into laden free-flight. We demonstrate that dynamic load disturbances introduced by the load mass will be rejected by a helicopter with PID flight control. We determine stability bounds in which the changing mass-inertia parameters of the system due to the grasped object will not destabilize this flight controller. The conditions under which transient partial contact mechanics of objects resting on a surface will not induce instability are identified. We demonstrate grasping and retrieval of a variety of objects while hovering, without touching the ground, using the Yale Aerial Manipulator testbed.
  • Keywords
    aerospace control; helicopters; materials handling; motion control; remotely operated vehicles; stability; three-term control; PID flight control; Yale Aerial Manipulator testbed; archetypical aerial manipulation task; dynamic load disturbances; hovering capture; load stability; mass inertia parameter; object aircraft motion; object grasping; rotorcraft; stability bounds; transient partial contact mechanics; unmanned aerial vehicles; Helicopters; Payloads; Rotors; Stability analysis; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-61284-386-5
  • Type

    conf

  • DOI
    10.1109/ICRA.2011.5980314
  • Filename
    5980314