• DocumentCode
    496042
  • Title

    Automatic and hand guided self-registration between a robot and an optical tracking system

  • Author

    Stein, Daniel ; Mönnich, H. ; Raczkowsky, J. ; Wörn, H.

  • Author_Institution
    IPR Karlsruhe, Univ. of Karlsruhe, Karlsruhe, Germany
  • fYear
    2009
  • fDate
    22-26 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper an self-registration method for a robot with an optical tracking system (OTS) is presented. The ability of the used KUKA lightweight robot allows to perform the registration in hand guided mode or completely automatically. The hand guidance allows the user to register the robot with the tracking system in a very fast and intuitive way. He can take the robot by hand and move it and the registration is performed automatically. The mathematical goal is to find a rotation and translation to compute the pose of the robot base and end effector in terms of the coordinate system of the OTS. At each position the pose of the rigid body as well as the TCP of the robot is determined. Since the origin of the rigid body usually is different from the TCP a simple point-to-point transformation as e.g. provided by Horn is not suitable. The problem was reformulated to avoid this and solved with a modified Gauss Newton algorithm.
  • Keywords
    Gaussian processes; Newton method; medical robotics; optical tracking; pose estimation; surgery; Gauss Newton algorithm; KUKA lightweight robot; automatic self-registration; hand guided self-registration; optical tracking system; pose estimation; Biomedical optical imaging; Calibration; End effectors; Fasteners; Gaussian processes; Laser surgery; Medical robotics; Robot kinematics; Robotics and automation; Skull; Surgical robotics; laser osteotomy; optical tracking; self calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics, 2009. ICAR 2009. International Conference on
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-4855-5
  • Electronic_ISBN
    978-3-8396-0035-1
  • Type

    conf

  • Filename
    5174813