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Indoor robot localization based on single RFID tag

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Abstract

With the mature of the RFID technology and the wide use of the Internet of Things technology, it is a new research hotspot that RFID technology was applied to robot localization and navigation. RFID tags have the characteristic of storing information, long reading distance and using conveniently. A novel robot localization method combining RFID with laser data is proposed in this paper. When the robot detects an RFID tag, RFID antenna angle probability model is determined based on the fuzzy reasoning algorithm. Then the Bayes rule is used to estimate the direction of the robot. Finally, the robot global localization is realized by fusion of the laser ranging data. The experimental results showed that the precision of the positioning based on single RFID tag is enhanced greatly by combining laser detecting data.

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References

  1. Koch A, Zell A (2016) RFID-enabled location fingerprinting based on similarity models from probabilistic similarity measures. In: 2016 IEEE international conference on robotics and automation (ICRA), Sweden,  16–21 May 2016, pp 4557–4563

  2. Bahl P, Padmanabhan VN (2000) RADAR: An in-building RF-based user location and tracking system. In: Nineteenth annual joint conference of the IEEE computer and communications societies (INFOCOM), Israel, 26–39 March 2000, vol 2, pp 775–784

  3. Hightower J, Want R, Borriello G (2000) SpotON: an indoor 3d location sensing technology based on RF signal strength. UW CSE 00-02-02, University of Washington, Department of Computer Science and Engineering, Seattle, WA

  4. Ni LM, Liu Y, Lau YC (2004) Landmarc: indoor location sensing using active RFID. Wirel Netw 10(6):701–710

    Article  Google Scholar 

  5. Thormann C, Winkler A (2017) Localization and efficient grasping of objects by a manipulator using RFID technique. In: International conference on methods and models in automation and robotics (MMAR), Germany, pp 670–675

  6. Milella A, Paola DD, Cicirelli G, D’Orazio T (2009) RFID tag bearing estimation for mobile robot localization. In: International conference on advanced robotics (ICAR), Croatia, 12–13 May 2009, pp 1–6

  7. Khaliq AA, Pecora F, Saffiotti A (2016) Point-to-point safe navigation of a mobile robot using stigmergy and RFID technology. In: 2016 IEEE/RSJ international conference on intelligent robots and systems (IROS), Korea, 9-14 October 2016, pp 1497–1504

  8. Wu H, Ma Q, Zhang C (2013) Information distributed description based on radio frequency identification. In: The 22nd IEEE international symposium on robot and human interactive communication (RO-MAN), Korea, 26–29 August 2013, pp 167–172

  9. Hartmann CS, Claiborne LT (2007) Fundamental limitations on reading range of passive IC-based RFID and SAW-based RFID. In: IEEE international conference on RFID (IEEE-REID), US, 26–28 March 2007, pp 41–48

  10. Zhong F, Zhong YN (2005) The application research of mamdani and sugeno style fuzzy inference. J Hubei Polytech Univ 20(2):28–30

    MathSciNet  Google Scholar 

  11. Zhongdong DU, Tian G, Zhou F, Liu Z (2013) Design and implementation of service robot intelligent space soft-ware-platform based on upnp middleware. Comput Eng Appl 49(16):61–67

    Google Scholar 

  12. Chen XB (2010) Research on navigation of service robot based on home environment intelligent space. Shandong University, Jinan, pp 41–48

    Google Scholar 

Download references

Acknowledgements

This paper is supported by Natural Science Foundation of Shandong Province ZR2015FM007 and ZR2017MF014, Shandong major research plan Project 2015GGX103034 and 2015ZDXX0101F03National Natural Science Foundation of China 61573216, and the Taishan Scholars Program of Shandong Province.

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Authors and Affiliations

  1. School of Control Science and Engineering, Shandong University, Jinan, China

    Hao Wu, Xiaojian Wu & Guohui Tian

Authors
  1. Hao Wu
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  2. Xiaojian Wu
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  3. Guohui Tian
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Corresponding author

Correspondence to Guohui Tian.

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Cite this article

Wu, H., Wu, X. & Tian, G. Indoor robot localization based on single RFID tag. Artif Life Robotics 23, 373–379 (2018). https://doi.org/10.1007/s10015-018-0449-7

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  • DOI: https://doi.org/10.1007/s10015-018-0449-7

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