• DocumentCode
    251078
  • Title

    Prioritized inverse kinematics using QR and cholesky decompositions

  • Author

    Sang-ik An ; Dongheui Lee

  • Author_Institution
    Inst. of Autom. Control Eng., Tech. Univ. Munchen, Munich, Germany
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    5062
  • Lastpage
    5069
  • Abstract
    This paper proposes new methods for the prioritized inverse kinematics (PIK) by using the QR decomposition (QRD) and the Cholesky decomposition (CLD) on the purpose of separation between orthogonalization and inversion processes that are essential parts of the PIK. The distinctive approach eliminates the interference between two processes which usually induces inaccuracy and sometimes instability on the prioritized inverse solutions. Two degenerate properties of using the QRD are explained and the remedies are provided as the modified damped least-squares pseudoinverse and the numerical reconditioning. The effectiveness are examined by the kinematic simulations with the n-link manipulators in the two-dimensional case and the KUKA LWR in the three-dimensional case.
  • Keywords
    inverse problems; least squares approximations; manipulator kinematics; matrix decomposition; CLD; Cholesky decomposition; KUKA LWR; PIK; QR decomposition; QRD; inversion process; kinematic simulation; modified damped least-squares pseudoinverse; n-link manipulators; numerical reconditioning; orthogonalization process; prioritized inverse kinematics; Damping; Jacobian matrices; Joints; Kinematics; Manipulators; Matrix decomposition; Redundancy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6907601
  • Filename
    6907601