• DocumentCode
    170446
  • Title

    Inverse-free D1G1 solution to acceleration-level inverse kinematics of redundant robot manipulators

  • Author

    Ying Wang ; Jiawei Luo ; Weibing Li ; Hongzhou Tan ; Yunong Zhang

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ., Guangzhou, China
  • fYear
    2014
  • fDate
    16-18 May 2014
  • Firstpage
    280
  • Lastpage
    284
  • Abstract
    The forward kinematics (FK) problem for robotic manipulators has a mathematically analytical solution, while the inverse kinematics (IK) problem is computationally expensive, and the closed-form expression of the solution does not always exist. In recent years, many approaches have been proposed to solve such a complicated IK problem, such as the traditional pseudo-inverse based solution. However, there are many limitations when using the pseudo-inverse based solution. Therefore, how to effectively avoid the Jacobian pseudo-inversion is very important and meaningful. Motivated by this, an important branch of dynamics methods, i.e., the gradient dynamics (GD) method, is thus applied to developing a novel inverse-free D1G1 solution at the joint-acceleration level for solving the IK problem of redundant robot manipulators. Furthermore, simulation results based on a three-link redundant robot manipulator substantiate the effectiveness and accuracy of the proposed inverse-free D1G1 solution.
  • Keywords
    acceleration control; gradient methods; redundant manipulators; Jacobian pseudo-inversion; acceleration-level inverse kinematics; closed-form expression; complicated IK problem; forward kinematics; gradient dynamics method; inverse-free D1G1 solution; mathematically analytical solution; redundant robot manipulators; Acceleration; Jacobian matrices; Joints; Kinematics; Manipulator dynamics; inverse kinematics; inverse-free D1G1 solution; path tracking; redundant robot manipulators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-2033-4
  • Type

    conf

  • DOI
    10.1109/PIC.2014.6972341
  • Filename
    6972341