• DocumentCode
    84950
  • Title

    Interval Analysis of Kinematic Errors in Serial Manipulators Using Product of Exponentials Formula

  • Author

    Pac, M.R. ; Popa, Dan O.

  • Author_Institution
    Res. Inst., Dept. of Electr. Eng., Univ. of Texas at Arlington, Arlington, TX, USA
  • Volume
    10
  • Issue
    3
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    525
  • Lastpage
    535
  • Abstract
    This paper proposes a methodology for analysis of kinematic errors in robotic manipulators. The approach is based on interval analysis and predicts end-effector pose deviation from its ideal model using the interval bounds on the errors of the individual axes. In contrast to sampling-based Monte Carlo methods, the proposed methodology offers guaranteed bounds for the error that accumulates at the end-effector. The forward kinematics map is extended to intervals using the product of exponentials formulation with interval joint parameters. This is a convenient method that incorporates both analytical and computational techniques and can be used for error analysis, or inversely, for manipulator design. Simulation and experimental results confirm that the calculated interval bounds fully enclose the end-effector error distribution and provide a measure of its volumetric size. An important application of this method is in the design of modular precision manipulators that can be assembled using individual linear and rotary stages.
  • Keywords
    Monte Carlo methods; design engineering; end effectors; manipulator kinematics; sampling methods; end-effector error distribution; end-effector pose deviation; exponential formula product; forward kinematics map; interval analysis; kinematic errors; manipulator design; robotic manipulators; sampling-based Monte Carlo methods; serial manipulators; Interval analysis; microassembly; precision;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2013.2263384
  • Filename
    6522543