• DocumentCode
    1784361
  • Title

    Control architecture of a sensorless robotic platform for minimally invasive surgery

  • Author

    Rivas-Blanco, I. ; Tortora, Giuseppe ; Menciassi, A. ; Munoz, V.F.

  • Author_Institution
    Univ. of Malaga, Malaga, Spain
  • fYear
    2014
  • fDate
    8-11 July 2014
  • Firstpage
    1116
  • Lastpage
    1121
  • Abstract
    This paper presents a modular robotic platform for Minimally Invasive Surgery (MIS) composed of several miniaturized robotic units anchored to a magnetic frame. The description of the hardware features of the platform is presented, along with a master/slave control architecture to intuitively handle two robotic units. Kinematic coupling between master and slave devices enhances the intuitiveness of the system, making possible to handle it dexterously with two Phantoms Omni devices. In order to evaluate the feasibility of the control scheme, pick and place experiments have been carried out, and the learning curve of the system was determined by performing experimental sessions with 5 users. As the miniature robotic units are not provided with sensors, an initial autocalibration method based on image analysis has been developed in order to avoid joints position errors. The control architecture showed good performance in terms of control speed.
  • Keywords
    calibration; control engineering computing; manipulators; medical computing; medical robotics; robot vision; surgery; MIS; Phantoms Omni devices; image analysis; initial autocalibration method; learning curve; magnetic frame; master-slave control architecture; master-slave devices kinematic coupling; miniaturized robotic units; minimally invasive surgery; modular robotic platform; pick and place experiments; sensorless robotic platform; Cameras; Haptic interfaces; Joints; Robot vision systems; Surgery;
  • 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.2014.6878230
  • Filename
    6878230