• DocumentCode
    1918033
  • Title

    Learning force control with position controlled robots

  • Author

    Lange, Friedrich ; Hirzinger, Gerhard

  • Author_Institution
    DLR Inst. of Robotics & Syst. Dynamics, Wessling, Germany
  • Volume
    3
  • fYear
    1996
  • fDate
    22-28 Apr 1996
  • Firstpage
    2282
  • Abstract
    The paper applies a previously presented method for accurate tracking of paths to force control. This approach is very simple since it does not require a joint torque/motor current interface but only a positional interface. It can be applied with elastic end-effectors (sensors) as well as with stiff environments where most elasticity is in the robot joints. In both cases deviations from the desired forces are transferred to positional deviations on joint level. The resulting path can then be controlled with high accuracy by a learned feedforward controller including the influence of the forces. The approach can be applied to the sensing of a contour or to the tracking of a known contour with high speed
  • Keywords
    feedforward; force control; learning systems; position control; robots; tracking; elastic end-effectors; feedforward controller; force control; position controlled robots; stiff environments; tracking; Control systems; Force control; Force sensors; Orbital robotics; Robot control; Robot kinematics; Robot sensing systems; Sampling methods; Shape; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-2988-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1996.506504
  • Filename
    506504