• DocumentCode
    664078
  • Title

    Uncalibrated vision-based deformation control of compliant objects with online estimation of the Jacobian matrix

  • Author

    Navarro-Alarcon, David ; Yun-Hui Liu

  • Author_Institution
    Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2013
  • fDate
    3-7 Nov. 2013
  • Firstpage
    4977
  • Lastpage
    4982
  • Abstract
    In this paper, we propose a new vision-based controller to actively deform an unknown elastic object. Note that most deformation controllers in the literature require a-priori knowledge of the object´s deformation properties. In contrast to this trend, we present a new Lyapunov-based method that online estimates the unknown deformation Jacobian matrix, avoiding any model identification or calibration steps. To achieve the desired object´s deformation, we derive an innovative dynamic-state feedback velocity control law using the passivity-based framework. We present a detailed experimental study to validate the feasibility of our deformation controller.
  • Keywords
    Jacobian matrices; Lyapunov methods; computer vision; controllers; state feedback; velocity control; Lyapunov-based method; compliant objects; innovative dynamic-state feedback velocity control law; object deformation properties; online unknown deformation Jacobian matrix estimation; passivity-based framework; uncalibrated vision-based deformation controller; vision-based controller; Deformable models; Jacobian matrices; Manipulators; Vectors; Velocity control; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2153-0858
  • Type

    conf

  • DOI
    10.1109/IROS.2013.6697075
  • Filename
    6697075