• DocumentCode
    1866258
  • Title

    Robotic acquisition of deformable models

  • Author

    Lang, Jochen ; Pai, Dinesh K. ; Woodham, Robert J.

  • Author_Institution
    Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    933
  • Abstract
    We describe techniques for automatically acquiring observations of a deforming object and for estimating a model of the deformation from these observations. A robotic system was developed for measuring deformation, and has been previously reported (Pai et al., 2000, 2001). The present paper describes new techniques for the estimation of deformable models based on discrete Green´s functions, from measurements acquired using stereo vision and a robot arm´s position and force sensors. This kind of robotic measurement presents new challenges for measurement and estimation, that we address here. Our techniques for robotic acquisition of deformable, object models have potential applications in robotics, haptic interfaces, simulation, computer graphics and virtual reality.
  • Keywords
    Green´s function methods; boundary-value problems; elasticity; force measurement; manipulators; matrix algebra; position measurement; robot vision; stereo image processing; computer graphics; deformable models; deformation measurement; deforming object; discrete Greens functions; force sensors; haptic interfaces; observations; position sensors; robot arm; robotic system; simulation; stereo vision; virtual reality; Application software; Deformable models; Force measurement; Force sensors; Green´s function methods; Position measurement; Robot sensing systems; Robot vision systems; Robotics and automation; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2002. Proceedings. ICRA '02. IEEE International Conference on
  • Print_ISBN
    0-7803-7272-7
  • Type

    conf

  • DOI
    10.1109/ROBOT.2002.1013476
  • Filename
    1013476