• DocumentCode
    3165549
  • Title

    A low-cost stereoscopic µP-based vision system for industrial light objects grasping

  • Author

    Kanellakis, Christoforos ; Kyritsis, George ; Tsilomitrou, Ourania ; Manesis, Stamatis

  • Author_Institution
    Dept. of Comput. Sci., Electr. & Space Eng., Lulea Univ. of Technol., Lulea, Sweden
  • fYear
    2015
  • fDate
    16-19 June 2015
  • Firstpage
    759
  • Lastpage
    765
  • Abstract
    This article describes a vision-based manipulation process for real-time moving objects tracking and grasping, aiming at industrial manufacturing and assembling applications. The adoption of computer vision techniques for object recognition is implemented by means of a stereoscopic system using color based methods under OpenCV libraries. The visual software is directly coupled with the control software of the robotic arm Katana 6M90G manufactured by Neuronics AG, running under a Linux-based Operating System (OS) distribution Lubuntu, over a low-cost and powerful microprocessor Odroid U3. Experimental studies validate the effectiveness of the implementation, while remarking the advantageous effects of the 3D pose estimation process.
  • Keywords
    Linux; assembling; image colour analysis; image motion analysis; industrial manipulators; object detection; object recognition; object tracking; process control; production engineering computing; robot vision; stereo image processing; 3D pose estimation process; Linux-based operating system; OS distribution Lubuntu; OpenCV libraries; color based methods; computer vision techniques; control software; industrial assembling; industrial light objects grasping; industrial manufacturing; low-cost stereoscopic μP-based vision system; microprocessor Odroid U3; object recognition; real-time moving object grasping; real-time moving object tracking; robotic arm Katana 6M90G; vision-based manipulation process; visual software; Cameras; Manipulators; Mathematical model; Robot kinematics; Stereo image processing; Three-dimensional displays; Computer Vision; Object detection; Object grasping; Robotic Arm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (MED), 2015 23th Mediterranean Conference on
  • Conference_Location
    Torremolinos
  • Type

    conf

  • DOI
    10.1109/MED.2015.7158837
  • Filename
    7158837