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Smart Floor with Learning Capability for Mobile Robot System

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Recent Advances in Robotics and Automation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 480))

Abstract

In this chapter, we suggest a new information space concept called “smart floor”. It is the floor storage of specific information designed for route guidance of a mobile robot. A mobile robot can reach its goal position using the information saved in smart floor as well as automatically update the information for a changing environment. We constructed smart floor using RFID tag packaging and fabricated a mobile robot mounted with a passive RFID tag in ultra high frequency (UHF) bandwidth. The passive RFID tag is inexpensive and does not require a power supply. The primary information stored in smart floor is direction-values and Q-values. These values are the resultant Q-learning method that is employed to guide a mobile robot form an arbitrary position to the goal position. This research will contribute to the development of various applications such as mobile robot applications.

Based on Implementation of Smart Floor for Multi-Robot System, by Soo Hyeok Kang, Yong Ho Kim, Eun Jin Lee, Soon-Geul Lee, Byung-Cheol Min, Jinung An, and Dong Han Kim which appeared in the Proceedings of the 5th International Conference on Automation, Robotics and Applications (ICARA 2011). © 2011 IEEE.

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References

  1. A. Kleiner, J. Prediger, B. Nebel, in RFID Technology-based Exploration and SLAM for Search and Rescue. International Conference on Intelligent Robots and Systems. Beijing, China, 9–15 Oct 2006

    Google Scholar 

  2. Hahnel, D, in Mapping and localization with RFID technology. Internatlomi Confsmnce on RobDtics and Automation. New Orleans. LA (2004)

    Google Scholar 

  3. B.S. Choi, J.W. Lee, J.J. Lee, in Localization and Map-Building of Mobile Robot Based on RFID Sensor Fusion System. Conference on Industrial Informatics. Daejeon, Korea, 13–16 July 2008

    Google Scholar 

  4. E.M. Gorostiza, J.L. Galilea, F.J. Meca, D.S. Monzú, F.E. Zapata, L.P. Puerto, Infrared sensor system for mobile-robot positioning in intelligent spaces. Sensors 11, 5416–5438 (2011)

    Article  Google Scholar 

  5. S.J. Cho, in On Interface for Information Acquisition Using RFID of Smart Space. Proceedings of KFIS Fall Conference 2004, vol. 14, Issue 2, (2004)

    Google Scholar 

  6. X. Wang, J.S. Dong, C.Y. Chin, S.R. Hettiarachchi, in Semantic Space: an infrastructure for smart spaces. IEEE Computer Society 2004, vol. 3 (2004), pp. 32–39

    Google Scholar 

  7. S.Y. Nam, D.H. Kim, Evaluation of RFID System for Location Based Services in the Building. The Institute of Electronics Engineers of Korea, vol. 48, Issue 1, (2011)

    Google Scholar 

  8. http://www.rfidjournalkorea.com/news/articleView.html?idxno=8226

  9. http://www.minerva.co.kr/contents/product/mkur_300.asp?a_site=3_1&sub_flash=2

  10. C.J.C.H. Watkins, Q-learning. in Machine Learning, vol. 8 (Kluwer Academic Publishers, Boston, 1992), pp. 279–292

    Google Scholar 

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Acknowledgments

This research was supported by a grant from the Construction Technology Innovation Program (CTIP) (No. 10CCTI-A050948-04) funded by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of the Korean government, and the Industrial Strategic Technology Development Program (No. 10035544-2010-01) funded by the Ministry of Knowledge Economy (MKE), Korea. Also, This work was supported by the DGIST R&D Program of the Ministry of Education, Science and Technology of Korea (11-BD-01).

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Correspondence to Dong Han Kim .

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© 2013 Springer-Verlag Berlin Heidelberg

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Kang, S.H., Kim, Y.H., Min, BC., Lee, SG., An, J., Kim, D.H. (2013). Smart Floor with Learning Capability for Mobile Robot System. In: Sen Gupta, G., Bailey, D., Demidenko, S., Carnegie, D. (eds) Recent Advances in Robotics and Automation. Studies in Computational Intelligence, vol 480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37387-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-37387-9_16

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