• DocumentCode
    3517096
  • Title

    In-hand radio frequency identification (RFID) for robotic manipulation

  • Author

    Deyle, Travis ; Tralie, Christopher J. ; Reynolds, Matthew S. ; Kemp, Charles C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
  • fYear
    2013
  • fDate
    6-10 May 2013
  • Firstpage
    1234
  • Lastpage
    1241
  • Abstract
    We present a unique multi-antenna RFID reader (a sensor) embedded in a robot´s manipulator that is designed to operate with ordinary UHF RFID tags in a short-range, near-field electromagnetic regime. Using specially designed near-field antennas enables our sensor to obtain spatial information from tags at ranges of less than 1 meter. In this work, we characterize the near-field sensor´s ability to detect tagged objects in the robots manipulator, present robot behaviors to determine the identity of a grasped object, and investigate how additional RF signal properties can be used for “pre-touch” capabilities such as servoing to grasp an object. The future combination of long-range (far-field) and short-range (near-field) UHF RFID sensing has the potential to enable roboticists to jump-start applications by obviating or supplementing false-positive-prone visual object recognition. These techniques may be especially useful in the healthcare and service sectors, where mis-identification of an object (for example, a medication bottle) could have catastrophic consequences.
  • Keywords
    antenna arrays; manipulators; object recognition; radiofrequency identification; RF signal properties; false-positive-prone visual object recognition; healthcare; in-hand radio frequency identification; multiantenna RFID reader; near-field antennas; ordinary UHF RFID tags; robotic manipulation; service sectors; Manipulators; RFID tags; Robot sensing systems; UHF antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2013 IEEE International Conference on
  • Conference_Location
    Karlsruhe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-5641-1
  • Type

    conf

  • DOI
    10.1109/ICRA.2013.6630729
  • Filename
    6630729