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Exploiting RFID Capabilities Onboard a Service Robot Platform

  • Thomas Kämpke
  • Boris Kluge
  • Matthias Strobel
Chapter
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 76)

Abstract

The potential of RFID (radio frequency identification) technology is analyzed in the context of service robots. Various concepts that differ by operation frequency (LF, HF, UHF) and, thus, by range are analyzed. Typically, the service robot application which is to be supported by RFID, preselects the frequency band by range requirements.

Within the DESIRE project, RFID was investigated for platform localization in large operation areas as well as for object identification at small distances. To enable this investigation, an electronic system was designed, built and integrated into the DESIRE platform that supports multiple antenna control.

Detection zones of objects, equipped with UHF-RFID tags, were estimated under lab conditions and for onboard scenarios. In particular, strengths and weaknesses of UHF-RFID object identification at far distances and in the presence of interfering signals are discussed.

This lead to one scenario in which the robot grasps an object, moves and rotates it in reading distance to the antenna mounted at the robot torso. The service robot can thus perceive object information that complements information from other sensor modalities like vision.

Keywords

Service Robot Reader Antenna Antenna Coil Reader Channel Desire Project 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Arumugam, D.D., Engels, D.W.: Characterisation of RF propagation in metal pipes for passive RFID systems. Int. J. Radio Frequency Identification Technology and Applications 1, 303–343 (2007)CrossRefGoogle Scholar
  2. 2.
    Deyle, T., Nguyen, H., Reynolds, M.S., Kemp, C.C.: RFID-guided robots for pervasive automation. Pervasive Computing 9, 37–45 (2010)CrossRefGoogle Scholar
  3. 3.
    Diana, C.W., Friedman, D.C.W., et al.: Automated tool handling for the trauma pod surgical robot. In: Proc. IEEE International Conference on Robotics and Automation ICRA, Rome, pp. 1936–1941 (2007)Google Scholar
  4. 4.
    Germa, T., Lerasle, F., Ouadah, N., Cadenat, V., Devy, M.: Vision and RFID-based person tracking in crowds from a mobile robot. In: Proc. EEE/RSJ International Conference on Intelligent Robots and Systems IROS, St. Louis, pp. 5591–5596 (2009)Google Scholar
  5. 5.
    Kim, J.-H., et al.: Ubiquitous robot: a new paradigm for integrated services. In: Proc. IEEE International Conference on Robotics and Automation ICRA, Rome (2007)Google Scholar
  6. 6.
    Kämpke, T., Kluge, B., Prassler, E., Strobel, M.: Robot position estimation on a RFID-tagged smart floor. Springer Tracts in Advanced Robotics 42, 201–211 (2008)CrossRefGoogle Scholar
  7. 7.
    Landt, J.: The history of RFID. IEEE Potentials 24, 8–11 (2005)CrossRefGoogle Scholar
  8. 8.
    Nemmaluri, A., Corner, M.D., Shenoy, P.: Sherlock: automatically locating objects for humans. In: Proc. MobiSys, Breckenridge, pp. 187–198 (2008)Google Scholar
  9. 9.
    Nikitin, P.V., Rao, K.V.S.: Performance limitations of passive UHF RFID systems. In: Proc. IEEE International Symposium on Antennas and Propagation, Albuquerque, pp. 1011–1014 (2006)Google Scholar
  10. 10.
    Olwal, A., Wilson, A.: SurfaceFusion: unobtrusive tracking of everyday objects in tangible user interfaces. In: Proc. 34th Canadian Graphics Interface Conference, Windsor, pp. 235–242 (2008)Google Scholar
  11. 11.
    Omojola, O., et al.: An installation of interactive furniture. IBM Systems Journal 39, 861–879 (2000)CrossRefGoogle Scholar
  12. 12.
    Rashid, J.: Towards the development of an ubiquitous networked robot systems for ambient assisted living. In: Proc. IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, Newport Beach, pp. 359–366 (2010)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.InMach Intelligente Maschinen GmbHUlmGermany

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