• DocumentCode
    2371033
  • Title

    A new approach to avoid singularities of 6-DOF industrial robot

  • Author

    Liu, Haitao ; Zhang, Tie

  • Author_Institution
    Sch. of Mech. & Automotive Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    247
  • Lastpage
    251
  • Abstract
    Singularity is a fundamental problem with robot manipulators, and limits its capability to complete its task. In this paper, a “singularity separation plus exponential damped reciprocal” method is presented and its implementation issues is discussed. The singularity factor is separated from the inverse Jacobian matrix, and modified with the exponential damped reciprocal. Therefore, it doesn´t require the singular value decomposition (SVD) and the estimate of minimum singular value in real-time, the computational amount is less, in addition, it´s easy to implement. However, the accuracy of the end-effector velocity components in only partial directions is sacrificed in order to achieve feasibility. In the end, some simulation results are given to demonstrate the effectiveness and feasibility of this method.
  • Keywords
    Jacobian matrices; industrial manipulators; position control; singular value decomposition; 6-DOF industrial robot; Jacobian matrix; SVD; avoid singularities; robot manipulators; singular value decomposition; Damping; Jacobian matrices; Joints; Manipulators; Service robots; Wrist;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5589087
  • Filename
    5589087