• DocumentCode
    716394
  • Title

    FBG-based polymer-molded shape sensor integrated with minimally invasive surgical robots

  • Author

    Hyowon Moon ; Jinwoo Jeong ; Ockchul Kim ; Keri Kim ; Woosub Lee ; Sungchul Kang ; Jinseok Kim

  • Author_Institution
    Center for Bionics, Korea Inst. of Sci. & Technol., Seoul, South Korea
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    1770
  • Lastpage
    1775
  • Abstract
    Shape tracking using a fiber Bragg grating sensor is a promising tool due to its thin, flexible, and weightless nature. Conventional investigations attached optical fibers with a metal rod which limited the curvature due to its stiffness and increased distance between the center of the fiber and that of the sensor. We fabricated ultrathin flexible shape sensor with 110 mm length and 560 μm diameter. Its low Young´s modulus and small diameter makes it suitable for application in minimally invasive surgical robot such as active cannula. The sensor causes only miniscule resistance when the cannula rotates or moves, and allows extra spaces for other surgical tools thanks to its small diameter. After the calibration, the sensor was integrated to the active cannula and overall position of the sensor was tracked. It showed an average error of 3.17 ± 1.21 % of the lengths of the measured nodes from the fixed starting point. The error was comparable to the outer diameter of the cannula, 2.8mm.
  • Keywords
    Bragg gratings; fibre optic sensors; medical robotics; optical polymers; optical tracking; shape measurement; surgery; FBG-based polymer-molded shape sensor; active cannula; fiber Bragg grating sensor; low Young´s modulus; metal rod; minimally invasive surgical robots; miniscule resistance; optical fibers; shape tracking; size 2.8 mm; size 560 mum; ultrathin flexible shape sensor; Bragg gratings; Cameras; Electron tubes; Optical fiber sensors; Optical fibers; Robot sensing systems; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139427
  • Filename
    7139427