• DocumentCode
    2686314
  • Title

    Parameter setting method considering variation of organ stiffness for the control method to prevent overload at fragile tissue

  • Author

    Kobayashi, Yo ; Kato, Atsushi ; Hoshi, Takeharu ; Kawamura, Kazuya ; Fujie, Masakatsu G.

  • Author_Institution
    Fac. of Sci. & Eng., Waseda Univ., Tokyo, Japan
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    2155
  • Lastpage
    2161
  • Abstract
    We describe a control method, for a surgical robot, which prevents the overload at fragile tissues. In particular, we focused on the control parameter setting method to ensure the robustness of the performance relative to the variation of the organ stiffness parameter. Firstly, we present Position/ Limited Stress control to achieving both precise positioning and prevention of overload. FEM based organ model was used to estimate the stress in this control method. Secondly, we describe the control parameter setting method. The control parameter was set to realize sufficient performance within the range of stiffness variation. Finally, we carried out a numerical simulation and an in vitro experiment. The simulation result suggests that our control method and parameter setting method helps prevent stress overload, not depending on the stiffness of organ model. The in vitro experimental result suggests that our method helps prevent stress overload of the in vitro-liver, the stiffness parameter of which is unknown.
  • Keywords
    biological tissues; finite element analysis; medical robotics; position control; surgery; FEM based organ model; fragile tissue; limited stress control; organ stiffness parameter; parameter setting method; position control; precise positioning; stiffness variation; surgical robot; In vitro; Medical robotics; Numerical simulation; Robust control; Stress control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354509
  • Filename
    5354509