• DocumentCode
    3227422
  • Title

    A damped least-squares solution to redundancy resolution

  • Author

    Egeland, Olav ; Sagli, J. Richard ; Spangelo, Inge ; Chiaverini, Stefano

  • Author_Institution
    Div. of Eng. Cybern., Norwegian Inst. of Technol., Trondheim, Norway
  • fYear
    1991
  • fDate
    9-11 Apr 1991
  • Firstpage
    945
  • Abstract
    Singularity robust redundancy resolution with task priority can be implemented using the extended Jacobian technique with weighted damped least-squares. The resulting scheme is simple to implement and involves less computation than the task priority scheme. The minimum singular value of the Jacobian can be estimated reliably and accurately with little computation, and this estimate was used to calculate an appropriate damping factor. A constant damping factor was also used with good results. The scheme was successfully implemented in a simulation study with a seven-joint manipulator with a kinematic design derived from the PUMA geometry
  • Keywords
    kinematics; least squares approximations; redundancy; robots; PUMA geometry; damped least-squares solution; extended Jacobian technique; minimum singular value; redundancy resolution; seven-joint manipulator; Computational modeling; Cybernetics; Damping; Geometry; Jacobian matrices; Kinematics; Redundancy; Robustness; Solid modeling; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    0-8186-2163-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1991.131710
  • Filename
    131710