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http://dx.doi.org/10.5302/J.ICROS.2006.12.1.041

Localization of Mobile Robot Based on Radio Frequency Identification Devices  

Lee Hyun-Jeong (부산대학교 지능기계공학과)
Choi Kyu-Cheon (부산대학교 지능기계공학과)
Lee Min-Cheol (부산대학교 기계공학부)
Lee Jang-Myung (부산대학교 전자전기통신공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.12, no.1, 2006 , pp. 41-46 More about this Journal
Abstract
Ubiquitous location based services, offer helpful services anytime and anywhere by using real-time location information of objects based on ubiquitous network. Particularly, autonomous mobile robots can be a solution for various applications related to ubiquitous location based services, e.g. in hospitals, for cleaning, at airports or railway stations. However, a meaningful and still unsolved problem for most applications is to develop a robust and cheap positioning system. A typical example of position measurements is dead reckoning that is well known for providing a good short-term accuracy, being inexpensive and allowing very high sampling rates. However, the measurement always has some accumulated errors because the fundamental idea of dead reckoning is the integration of incremental motion information over time. The other hand, a localization system using RFID offers absolute position of robots regardless of elapsed time. We construct an absolute positioning system based on RFID and investigate how localization technique can be enhanced by RFID through experiment to measure the location of a mobile robot. Tags are placed on the floor at 5cm intervals in the shape of square in an arbitrary space and the accuracy of position measurement is investigated . To reduce the error and the variation of error, a weighting function based on Gaussian function is used. Different weighting values are applied to position data of tags since weighting values follow Gaussian function.
Keywords
RFID; mobile robot; localization; weighted average;
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  • Reference
1 K. Finkenzeller, RFID Handbook: Radio-Frequency Identification Fundamentals and Applications, John Wiley & Sons, 2000
2 H. Choset and K. Nagatani, 'Topological SLAM toward exact localization without explicit localization,' IEEE Trans. on Robotics and Automation, vol. 17, no. 2, pp. 125-137, 2001   DOI   ScienceOn
3 J. Borenstein and L. Feng, 'Measurement and corrections of systematic odometry errors in mobile robots,' IEEE Trans. On Robotics and Automation, vol. 12, no. 6, pp. 869-880, 1996   DOI   ScienceOn
4 J. J. Leonard and H. J. S. Feder, 'A computationally efficient method for large-scale concurrent mapping and localization,' Proc of the Ninth Int. Sym. on Robotics Research (ISRR), 1999
5 O. Kubitz, M. O. Berger, M. Perlick, and R. Dumoulin, 'Application of radio frequency identification devices to support navigation of autonomous mobile robots,' Vehicular Technology Conference, IEEE 47th, vol. 1, pp. 126-130, 1997   DOI
6 정인수, 조형석, '2차원 거리 정보와 데드렉콘 정보에 의한 이동로봇의 자기 위치추정, 대한기계학회논문집, 제23권 제8호, pp. 1277-1288, 1999
7 G. Kantor and S. Singh, 'Preliminary results in range only localization and mapping' In Proceedings of ICRA 2002, pp. 1819-1825, 2002   DOI
8 A. Batalin and S. Sukhatme, 'Mobile robot navigation using a sensor network,' IEEE International Conference on Robotics and Automation, pp. 636-642, 2003   DOI
9 D. Hahnel, W. Burgard, D. Fox, K. Fishkin, and M. Philipose, 'Mapping and localization with RFID technology,' Proceedings of the 2004 IEEE International Conference on Robotics & Automation, vol. 1, pp. 1015-1020, 2004   DOI