• DocumentCode
    2675934
  • Title

    A new practical strategy to localize a 3D object without sensors

  • Author

    Liu, Chuankai ; Qiao, Hong ; Zhang, Bo

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    285
  • Lastpage
    290
  • Abstract
    Sensorless localization of 3D objects has been a significant research topic for many years. Researchers have focused on this problem from both theoretical and practical perspective where the goal is to reduce uncertainties in the orientation of a 3D object. However, to the best of our knowledge, no effective practical methods have been proposed so far to localize a polyhedron from any initial orientation to a unique orientation without sensors. In our previous work, two broad classes of 3D objects have been introduced, which can be localized from an arbitrary state to a unique state on a flat plane (the surface resting on the flat plane is established) without sensors. In this paper, a much broader class of polyhedra is introduced, which can be localized to a unique state without sensors. The main contributions of this paper are given as follows: · It is found that a polyhedron with an arbitrary initial state on the flat plane can be rotated to a fixed orientation (the orientation of the surface resting on the flat plane is fixed), provided that the polygon corresponding to each surface of the polyhedron can be oriented to a unique orientation in a 2D space. The method of rotating the polyhedron to a fixed orientation is given. · Base on the above result, both conditions and the strategy are given for a polyhedron to be localized to a unique state.· An example is given to show the validity of the strategy.
  • Keywords
    materials handling; position control; 3D object uncertainties reduction; 3D objects sensorless localization; fixed orientation; flat plane; polyhedron localization; polyhedron rotating method; Assembly; Intelligent robots; Intelligent sensors; Manufacturing automation; Manufacturing processes; Mathematics; Sensor systems; Shape; USA Councils; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5353900
  • Filename
    5353900