• DocumentCode
    481888
  • Title

    Dynamical abstraction of nonlinear environmental information by bilateral control

  • Author

    Takei, Takayoshi ; Shimono, Tomoyuki ; Ohnishi, Kouhei

  • Author_Institution
    Dept. of Syst. Design Eng., Keio Univ., Yokohama
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    2533
  • Lastpage
    2538
  • Abstract
    Recently, minimally invasive surgery (MIS) that has some advantages has come to the front. The research on surgical robot for operational support has been actively done. To use such robots in MIS, it is needed to estimate the environmental impedance as the numerical data and to preserve it from the viewpoint of knowing the standard reference value of the safety field of internal organs and from that of the support of education for the operation. In this paper, a novel method for the estimation of environmental stiffness in a real environment by bilateral control is proposed. In this method, one degrees of freedom linear motor is used. And it enables environmental stiffness to be estimated with an environmental reaction force by the reaction force observer based on the disturbance observer. It is able to estimate environmental stiffness without depending on slavepsilas initial position. Moreover, the stiffness is enabled to be estimated dynamically by using past information. To verify the viability of the proposed method, experimental results are shown.
  • Keywords
    linear motors; medical robotics; nonlinear control systems; observers; surgery; bilateral control; disturbance observer; dynamical abstraction; environmental stiffness; linear motor; minimally invasive surgery; nonlinear environmental information; reaction force observer; surgical robot; Acceleration; Control systems; Force control; Impedance; Master-slave; Medical robotics; Minimally invasive surgery; Robot sensing systems; Safety; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758355
  • Filename
    4758355