• DocumentCode
    3104373
  • Title

    Toward automated haptic modeling using commercial haptic interfaces: surface normal estimation and static model identification

  • Author

    Judd, Mark A. ; Brown, Travis L. ; Colton, Mark B.

  • Author_Institution
    Dept. of Mech. Eng., Brigham Young Univ., Provo, UT
  • fYear
    2009
  • fDate
    18-20 March 2009
  • Firstpage
    434
  • Lastpage
    439
  • Abstract
    The use of commercial haptic interfaces to create models of the feel of physical objects has the potential to transform the field of haptic modeling by broadening the availability of haptic modeling technology. In this paper we develop methods that enable general haptic interfaces to actuate and measure the dynamic properties of physical objects and generate models of their behavior. Specifically, methods are presented that allow commercial haptic interfaces to 1) estimate interaction forces without the use of force sensors, 2) estimate surface normal directions, and 3) actuate objects and identify haptic models from experimental data. Results are presented for two 1-D push buttons, one foam ball, and one inflatable vinyl ball. Initial results suggest that the methods have promise, but challenges must be overcome related estimating forces without the use of force sensors.
  • Keywords
    estimation theory; haptic interfaces; identification; 1-D push buttons; automated haptic modeling; commercial haptic interfaces; static model identification; surface normal estimation; Cities and towns; Force measurement; Force sensors; Haptic interfaces; Instruments; Mechanical engineering; Nonlinear dynamical systems; Probes; Teleoperators; Virtual environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    EuroHaptics conference, 2009 and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics 2009. Third Joint
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4244-3858-7
  • Type

    conf

  • DOI
    10.1109/WHC.2009.4810878
  • Filename
    4810878