• DocumentCode
    651101
  • Title

    Online retargeting for multi-lateral teleoperation

  • Author

    Gi-Hun Yang ; Jongha Won ; Seokwoo Ryu

  • Author_Institution
    Biomimetic Robot Res. Group, Korea Inst. of Ind. Technol., Ansan, South Korea
  • fYear
    2013
  • fDate
    Oct. 30 2013-Nov. 2 2013
  • Firstpage
    238
  • Lastpage
    240
  • Abstract
    Retargeting is a kind of mapping function between input of the master device and output of the slave robot. If the slave robot should conduct a teleoperation task like tele-surgery, operation in the space, operation in a dangerous place, the point of the end-effector becomes very important. In this paper, we have developed a retargeting system for teleoperation task, using data glove and vision sensor, and magnetic sensor. The system can sense motion and position of human wrist, hand motion including the fingers. With this system, the user can manipulate teleoperated robotic arm and robotic hand without any difficulties. The proposed system can provide intuitive and precise teleoperation mode. Also, hand gesture-based control mode was investigated using data glove.
  • Keywords
    SLAM (robots); data gloves; end effectors; gesture recognition; image sensors; magnetic sensors; medical robotics; motion control; motion measurement; position control; position measurement; robot vision; surgery; telerobotics; dangerous place; data glove; end-effector; fingers; hand gesture-based control mode; hand motion; human wrist; magnetic sensor; manipulation; mapping function; master device; motion sensing; multilateral teleoperation; online retargeting; position sensing; precise teleoperation mode; robotic hand; slave robot; teleoperated robotic arm; teleoperation task; telesurgery; vision sensor; Cartersian control; Teleoperation; master; motion interface; retargeting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
  • Conference_Location
    Jeju
  • Print_ISBN
    978-1-4799-1195-0
  • Type

    conf

  • DOI
    10.1109/URAI.2013.6677354
  • Filename
    6677354