• DocumentCode
    1869187
  • Title

    Meso-scale manipulation: System, modeling, planning and control

  • Author

    Cappelleri, David J. ; Cheng, Peng ; Fink, Jonathan ; Gavrea, Bogdan ; Kumar, Vijay

  • Author_Institution
    GRASP Lab., Univ. of Pennsylvania, Philadelphia, PA
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    2220
  • Lastpage
    2221
  • Abstract
    Manipulation and assembly tasks are typically characterized by many nominally rigid bodies coming into frictional contacts, possibly involving impacts. Manipulation tasks are difficult to model because uncertainties associated with friction and assembly tasks are particularly hard to analyze because of the interplay between process tolerance and geometric uncertainties due to manufacturing errors. Manipulation at the meso (hundred microns to millimeters) and micro (several microns to tens of microns) scale is even harder for several reasons. It is difficult to measure forces at the micro-netwon level reliably using off-the-shelf force sensors and good force-feedback control schemes have not proved successful. It is hard to manufacture general-purpose end effectors at this scale and it is even more difficult to grasp and manipulate parts at the micro and meso level than it is at the macro level. Finally, the lack of good models of the mechanics of contact interactions at this scale means that model-based approaches to planning and control are difficult.
  • Keywords
    end effectors; grippers; micromanipulators; contact interaction; end effectors; frictional contact; geometric uncertainty; grasping; mesoscale manipulation; process tolerance; Assembly; End effectors; Force control; Force measurement; Force sensors; Friction; Manufacturing processes; Solid modeling; Uncertainty; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543543
  • Filename
    4543543