• DocumentCode
    1792300
  • Title

    6DOF pose estimation of objects for robotic manipulation. A review of different options

  • Author

    Tellaeche, Alberto ; Maurtua, Inaki

  • Author_Institution
    IK4-Tekniker, Eibar, Spain
  • fYear
    2014
  • fDate
    16-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    6DOF pose estimation of objects in robotics is nowadays an active field of research under different approaches. The solution of this problem depends directly on many aspects, such as the geometry of the object to be located, the flexibility of the solution needed, or the 3D sensors used. Reaching a robust and reliable solution to this problem is essential, being this the first step in present research in industrial robotics, where advanced manipulation and identification of complex objects is fundamental. This paper presents different results obtained solving the 6DOF pose estimation problem, using different software libraries and the Microsoft Kinect as 3D acquisition system to capture the scene.
  • Keywords
    data acquisition; image capture; industrial robots; pose estimation; software libraries; 3D acquisition system; 3D sensors; 6DOF pose estimation problem; Microsoft Kinect; complex object identification; industrial robotics; object geometry; robotic manipulation; software libraries; Estimation; Iterative closest point algorithm; Libraries; Robot kinematics; Solid modeling; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technology and Factory Automation (ETFA), 2014 IEEE
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/ETFA.2014.7005077
  • Filename
    7005077