• DocumentCode
    1820275
  • Title

    Solving contact and grasp uncertainties

  • Author

    Dutre, S. ; Bruyninckx, H. ; Demey, S. ; De Schutter, J.

  • Author_Institution
    Dept. of Mech. Eng., Katholieke Univ., Leuven, Belgium
  • Volume
    1
  • fYear
    1997
  • fDate
    7-11 Sep 1997
  • Firstpage
    114
  • Abstract
    This paper extends previous work on (suboptimal) Kalman filter based identification of geometric uncertainties that occur during the manipulation of an object in contact with its environment. The setup consists of a force-controlled robot which has grasped a cylindrical peg; the relative position and orientation of the peg with respect to the robot end effector are only approximately known. The peg is moved over a surface, whose position and orientation are also uncertain. This paper describes how to estimate the above-mentioned uncertainties, even if some of the geometric uncertainties are instantaneously indeterminate, i.e., their influences on the force and/or velocity errors are instantaneously indistinguishable. Experimental results illustrate the theoretical background of the estimation problem
  • Keywords
    Kalman filters; filtering theory; force control; manipulator kinematics; recursive estimation; uncertain systems; contact uncertainties; cylindrical peg; force-controlled robot; geometric uncertainties; grasp uncertainties; robot end effector; suboptimal Kalman filter based identification; End effectors; Fixtures; Force control; Force sensors; Grippers; Mechanical engineering; Robot sensing systems; Robotic assembly; State estimation; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 1997. IROS '97., Proceedings of the 1997 IEEE/RSJ International Conference on
  • Conference_Location
    Grenoble
  • Print_ISBN
    0-7803-4119-8
  • Type

    conf

  • DOI
    10.1109/IROS.1997.649018
  • Filename
    649018