• DocumentCode
    1784453
  • Title

    Enhanced tactile sensor for the minimally invasive robotic palpation

  • Author

    Joon Ho Kwon ; Jung-Hoon Hwang ; Jinung An ; Gi-Hun Yang ; Daehie Hong

  • Author_Institution
    Sch. of Mech. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    8-11 July 2014
  • Firstpage
    1375
  • Lastpage
    1380
  • Abstract
    In this paper, an enhanced tactile sensor is presented which improve sensing accuracy in Minimally Invasive Robotic Surgery (MIRS). Even though many types of tactile sensors have been designed, the detection of abnormal tissue is still not accurate during MIRS. Previous research results showed that a resistive type tactile sensor satisfies requirements such as sensing linearity in each sensing point, high sensitivity and enough spatial resolution, but not independency. In the sensor field, independency is a very important factor for the reliability of sensed signal. To achieve a high quality tactile feedback signal, an enhanced tactile sensor is designed to realize a high independency while maintaining the sensitivity and the linear characteristic of the previous sensor. By using this enhanced sensor, a more accurate tactile signal feedback is expected. Its design was verified through Finite Elements Analysis (FEA) and its applicability to the MIRS was proved through experiments using simulated human tissues.
  • Keywords
    biological tissues; finite element analysis; medical robotics; surgery; tactile sensors; FEA; MIRS; finite elements analysis; human tissue simulation; independency; minimally invasive robotic surgery; quality tactile feedback signal; resistive type tactile sensor; sensed signal reliability; sensing accuracy; tactile signal feedback; Data acquisition; Linearity; Spatial resolution; Steel; Tactile sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2014 IEEE/ASME International Conference on
  • Conference_Location
    Besacon
  • Type

    conf

  • DOI
    10.1109/AIM.2014.6878274
  • Filename
    6878274