• DocumentCode
    419423
  • Title

    Active modeling of articulated objects with haptic vision

  • Author

    Uejo, Masatsugu ; Tanaka, Hiromi T.

  • Author_Institution
    Dept. of Human & Comput. Intelligence, Ritsumeikan Univ., Kyoto, Japan
  • Volume
    1
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    22
  • Abstract
    Recently, there are growing needs for haptic exploration to estimate and extract physical object properties such as mass, friction, elasticity, function etc. In this paper, we propose a novel approach to active modeling of articulated objects with haptic vision. The method automatically extracts and describes both geometrical and physical properties of an articulated object, through the observation of interactions with active vision and "active touch " by a robot hand, using a CCD camera, range and force-feedback sensors. Such models can provide users with reality-based interactions with the objects in virtual environments, to test and extract physical properties such as functions, parts motions and linking structures etc. Experimental results on a paper punch and a pair of pliers were shown and these results were successfully used to construct a reality-based virtual environment simulator.
  • Keywords
    CCD image sensors; active vision; force feedback; force sensors; intelligent robots; object recognition; robot vision; touch (physiological); virtual reality; CCD camera; active modeling; active touch; active vision; articulated objects; force feedback sensors; geometrical object properties; haptic vision; physical object properties; range sensors; reality based interactions; reality based virtual environment simulator; robot hand; Cameras; Charge coupled devices; Charge-coupled image sensors; Elasticity; Friction; Haptic interfaces; Robot sensing systems; Robot vision systems; Robotics and automation; Virtual environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1333996
  • Filename
    1333996