• DocumentCode
    3025243
  • Title

    Magnetic field-based sensing method for spherical joint

  • Author

    Foong, Shaohui ; Lee, Kok-Meng ; Bai, Kun

  • Author_Institution
    Woodruff Sch. of Mech. Eng.y, Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    5447
  • Lastpage
    5452
  • Abstract
    This paper presents a sensing method that harnesses the capacity of modern sensors to measure vector fields. This approach directly maps distributed independent field measurements to the instantaneous orientation of a spherical joint embedded with low-cost permanent magnets. Unlike existing methods which require a priori and precise field models, this direct method engages an artificial neural network to associate a collection of measurements to joint orientation. The operation of both bipolar and unipolar single and multi-axis sensors were considered and evaluated experimentally.
  • Keywords
    magnetic field measurement; magnetic sensors; manipulators; neural nets; permanent magnets; sensor fusion; artificial neural network; distributed independent field measurement; low cost permanent magnet; magnetic field based sensing method; multiaxis sensor; spherical joint orientation; vector field measurement; Artificial neural networks; Capacitive sensors; Magnetic field measurement; Magnetic fields; Magnetic sensors; Optical sensors; Permanent magnets; Position measurement; Robotics and automation; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509790
  • Filename
    5509790