• DocumentCode
    1798903
  • Title

    Tracking of human operator arms oriented to the control of two robotic arms

  • Author

    Jimenez Moreno, Robinson

  • Author_Institution
    GRITEL - Fundacion Univ. Autonoma de Colombia, Bogotá, Colombia
  • fYear
    2014
  • fDate
    17-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This article presents the development of machine vision algorithms that allows to manipulate two robotic arms by the operator, replicating the movements of his own arms, accomplishing control of four degrees of freedom per arm. The development is aimed to provide an environment of natural, wireless and non-invasive control, providing security to the operator in the face of achievement of unsafe tasks, either for removal of hazardous, explosive or radioactive materials, as well as possibly toxic environments or just remote control from a remote site. The tracking algorithm of the two arms is based on their detection using the skeleton tool of Microsoft Kinect sensor, as well as image processing algorithms like color space conversion, segmentation and thresholding to control the gripper arm. It was possible to obtain real-time control of the arms to four degrees of freedom, according to the monitoring of the arms of the operator in the ranges of sensor coverage.
  • Keywords
    grippers; image colour analysis; image segmentation; motion control; object tracking; robot vision; Microsoft Kinect sensor; color space conversion; gripper arm; human operator arms; image processing; image segmentation; image thresholding; machine vision algorithm; noninvasive control; robotic arms; skeleton tool; tracking algorithm; Conferences; Manipulators; Mobile robots; Robot sensing systems; Skeleton; Tracking; human tracking; image processing; kinect; machine vision; robotic arm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image, Signal Processing and Artificial Vision (STSIVA), 2014 XIX Symposium on
  • Conference_Location
    Armenia
  • Type

    conf

  • DOI
    10.1109/STSIVA.2014.7010125
  • Filename
    7010125