• DocumentCode
    2549991
  • Title

    Design, modeling, estimation and control for aerial grasping and manipulation

  • Author

    Mellinger, Daniel ; Lindsey, Quentin ; Shomin, Michael ; Kumar, Vijay

  • Author_Institution
    Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, 19104, USA
  • fYear
    2011
  • fDate
    25-30 Sept. 2011
  • Firstpage
    2668
  • Lastpage
    2673
  • Abstract
    This paper addresses mechanics, design, estimation and control for aerial grasping. We present the design of several light-weight, low-complexity grippers that allow quadrotors to grasp and perch on branches or beams and pick up and transport payloads. We then show how the robot can use rigid body dynamic models and sensing to verify a grasp, to estimate the the inertial parameters of the grasped object, and to adapt the controller and improve performance during flight. We present experimental results with different grippers and different payloads and show the robot´s ability to estimate the mass, the location of the center of mass and the moments of inertia to improve tracking performance.
  • Keywords
    Aerodynamics; Equations; Force; Grippers; Payloads; Robots; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-61284-454-1
  • Type

    conf

  • DOI
    10.1109/IROS.2011.6094871
  • Filename
    6094871