Automatic robot navigation is being utilized in many industries for the
purpose of high speed work delivery. Color follower, fix path follower robots
are current solution to this activities but dynamic path configuration is not
possible in these robots. Hence new system proposes effective and fully dynamic
path follower robots using RFID and directional antenna. Radio Frequency
Identification (RFID) system permits automatic identification of objects with
RFID tags using radio waves which have been widely used in mobile robot
navigation, localization and mapping both in indoor and outdoor environment.
This article presents a navigation strategy for autonomous mobile robot using
passive RFID system. Proposed robot system is provided with RFID tag functionality
which will load tag number and direction instruction. At some turning point,
user will put RF tag, this tag will be read by RF reader which is placed on
robot. As per direction instruction robot will change the direction and reach
to the destination. Also as per the movement, robot will send its GPS location
to PC (Personal Computer) which will be displayed on PC. Hence main goal is to
provide more reliable and low energy consumption based indoor positioning
system which will be achieved using directional antenna.
References
[1]
Russian Institute of Space Device Engineering (2008) Global Navigation Satellite System GLONASS—Interface Control Document. Version 5.1, Moscow, Russia.
[2]
Gu, Y., Lo, A. and Niemegeers, I. (2009) A Survey of Indoor Positioning Systems for Wireless Personal Networks. IEEE Communications Surveys & Tutorials, 11, 13-32.
[3]
Szunny, R. and Modelski, J. (2005) Neural Networks in Indoor Positioning System Based on Power Delay Profile. The International Conference on “Computer as a Tool”, EUROCON 2005, Belgrade, 21-24 November 2005, 1726-1729. http://dx.doi.org/10.1109/EURCON.2005.1630307
[4]
Xiong, Z., Song, Z., Sclera, A., Ferrea, E., Sottile, F., Brizzi, P., Tomsai, R. and Spirito, M.A. (2013) Hybrid WSN and RFID Indoor Positioning and Tracking System. EURASIP Journal on Embedded Systems, 2013, 6.
[5]
Liu, H., Darabai, H., Banerjee, P. and Liu, J. (2007) Survey of Wireless Indoor Positioning Technique and Systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 37, 1067-1080. http://dx.doi.org/10.1109/TSMCC.2007.905750
[6]
Pei, C., Cai, Y. and Ma, Z. (2009) An Indoor Positioning Algorithm Based on Received Signal Strength of WLAN. Pacific-Asia Conference on Circuits, Communications and Systems, Chengdu, 16-17 May 2009, 516-519. http://dx.doi.org/10.1109/PACCS.2009.65
[7]
Lee, B.-G., Lee, Y.-S. and Chung, W.-Y. (2008) 3D Navigation Real Time RSSI-Based Indoor Tracking Application. Journal of Ubiquitous Convergence Technology, 2, 67-77.
[8]
Lionel, M.N.I., Liu, Y.H., Lau, I.C. and Patil, A.P. (2003) LANDMARC: Indoor Location Sensing Using Active RFID. Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, Fort Worth, 26-26 March 2003, 407-415.
[9]
Shi, H.Y. (2012) A New Weighted Centroid Localization Algorithm Based on RSSI. International Conference on Information and Automation, Shenyang, 6-8 June 2012, 137-141.
[10]
Hightower, J., Want, R. and Borriello, G. (2000) SpotON: An Indoor 3D Location Sensing Technology Based on RF Signal Strength. UW CSE00-02-02.
[11]
Potgantwar, A.D. and Wadhai, V.M. (2011) Location Based System for Mobile Devices with Integration of RFID and Wireless Technology-Issues and Proposed System. 2011 International Conference on Process Automation, Control and Computing, Coimbatore, 20-22 July 2011, 1-5.
[12]
Wang, C.L. and Chiou, Y.S. (2006) An Adaptive Positioning Scheme Based on Radio Propogation Modelling for Indoor WLANs. 63rd IEEE Vehicular Technology Conference, Melbourne, 7-10 May 2006, 2676-2680.
[13]
Paul, A.S. and Wan, E.A. (2009) RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers. IEEE Journal of Selected Topics in Signal Processing, 3, 860-873. http://dx.doi.org/10.1109/JSTSP.2009.2032309
[14]
Dong, Z., Wu, Y. and Sum, D. (2013) Data Fusion of the Real-Time Positioning System Based on RSSI and TOF. 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2, 503-506. http://dx.doi.org/10.1109/ihmsc.2013.267
[15]
Günther, A. and Hoene, C. (2005) Measuring Round Trip Times to Determine the Distance between WLAN Nodes. 4th International IFIP-TC6 Networking Conference, Waterloo, 2-6 May 2005, 768-779.
[16]
Pascucci, F. and Ulivi, G. (2002) An Outdoor Navigation System Using GPS and Inertial Platform. IEEE/ASME Transactions on Mechatronics, 7, 134-142. http://dx.doi.org/10.1109/TMECH.2002.1011250
[17]
Tsubouchi, T., Shigematsu, B., Maeyama, S. and Yuta, S. (2003) Outdoor Navigation of a Mobile Robot between Buildings Based on DGPS and Odometry Data Fusion. IEEE International Conference on Robotics and Automation, 2, 1050-4729.
[18]
Department of Defence United States of America and GPS Navstar (2008) Global Positioning System Standard Positioning Service Performance Standards. 4th Edition, Department of Defence United States of America and GPS Navstar.
[19]
Kennedy, S.H. and Martell, J. (2006) Architecture and System Performance of SPAN NovAtel’s GPS/INS Solution. Proceedings of IEEE/ION PLANS 2006, San Diego, 23-25 April 2006.
[20]
Want, R., Hopper, A., Falcao, V. and Gibbons, J. (1992) The Active Badge Location System. ACM Transactions on Information Systems, 40, 91-102. http://dx.doi.org/10.1145/128756.128759
[21]
Want, R., Schilit, B., Adams, N., Gold, R., Gold-Berg, D., Petersen, K., Ellis, J. and Weiser, M. (1997) The Parctab Ubiquitous Computing Experiment. In: Imielinski, T., Ed., Book Chapter: Mobile Computing, Chapter 2, Kluwer Publishing, 45-101.
[22]
Ward, A., Jones, A. and Hopper, A. (1997) A New Location Technique for the Active Office. IEEE Personal Communication Magazine, 4, 42-47.
[23]
Geunho, L. and Young, C.N. (2011) Low-Cost Dual Rotating Infrared Sensor for Mobile Robot Swarm Applications. IEEE Transactions on Industrial Informatics, 7, 277-286. http://dx.doi.org/10.1109/TII.2011.2121078
[24]
Krumm, J., Harris, S., Meyers, B., Brumitt, B., Hale, M. and Shafer, S. (2000) Multi Camera Multi-Person Tracking Easy Living. 3rd IEEE International Workshop on Visual Surveillance, Dublin, 1 July 2000, 3-10. http://dx.doi.org/10.1109/VS.2000.856852
[25]
Priyantha, N.B. (2005) The Cricket Indoor Location System. Ph.D. Thesis, Massachusetts Institute of Technology, Cambridge, 199 p.
[26]
Fukuju, Y., Minami, M., Morikawa, H. and Aoyama, T. (2003) DOLPHIN: An Autonomous Indoor Positioning System in Ubiquitous Computing Environment. IEEE Workshop on Software Technologies for Future Embedded Systems, Hakodate, 15-16 May 2003, 53-56.
[27]
Li, T.H.S., Yeh, Y.C., Wu, J.D., Hsiao, M.Y. and Chen, C.Y. (2010) Multifunctional Intelligent Autonomous Parking Controllers for Carlike Mobile Robots. IEEE Transactions on Industrial Electronics, 57, 1687-1700. http://dx.doi.org/10.1109/TIE.2009.2033093
[28]
Kyoungmin, L. and Kyun, C.W. (2009) Effective Maximum Likelihood Grid Map with Conflict Evaluation Filter Using Sonar Sensors. IEEE Transactions on Robotics, 25, 887-901. http://dx.doi.org/10.1109/TRO.2009.2024783
[29]
Orr, R.J. and Abowd, G.D. (2000) The Smart Floor: A Mechanism for Natural User Identification and Tracking. GVU Technical Report GIT-GVU-00-02 (Full Paper).
[30]
Minami, M., Fukuju, Y., Hirasawa, K., Yokoyama, S., Mizumachi, M., Morikawa, H. and Aoyama, T. (2004) DOLPHIN: A Practical Approach for Implementing a Fully Distributed Indoor Ultrasonic Positioning System. In: Davies, N., Mynatt, E.D. and Siio, I., Eds., UbiComp 2004: Ubiquitous Computing, Springer, Berlin, 347-365.
[31]
Hazas, M. and Hopper, A. (2006) A Novel Broadband Ultrasonic Location System for Improved Indoor Positioning. IEEE Transactions on Mobile Computing, 5, 536-547. http://dx.doi.org/10.1109/TMC.2006.57
[32]
Lorincz, K. and Welsh, M. (2005) MoteTrack: A Robust, Decentralized Approach to RF-Based Location Tracking. Proceedings of the International Workshop on Location and Context-Awareness (LoCA 2005) at Pervasive 2005, May 2005.
[33]
Lau, E.-E.-L. and Chung, W.-Y. (2007) Enhanced RSSI-Based Real-Time User Location Tracking System for Indoor and Outdoor Environments. International Conference on Convergence Information Technology, Gyeongju, 21-23 November 2007, 1213-1218. http://dx.doi.org/10.1109/iccit.2007.253
[34]
Collin, J., Mezentsev, O. and Lachapelle, G. (2003) Indoor Positioning System Using Accelerometry and High Accuracy Heading Sensors. Proceedings of GPS/GNSS 2003 Conference (Session C3), Portland, 9-12 September 2003.
[35]
Harter, A., Hopper, A., Steggles, P., Ward, A. and Webster, P. (1999) The Anatomy of a Context Aware Application. Proceedings of the 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking, August 1999, 59-68.
[36]
Tesoriero, R., Tebar, R., Gallud, J.A., Lozano, M.D. and Penichet, V.M.R. (2010) Improving Location Awareness in Indoor Spaces Using RFID Technology. Expert Systems with Applications, 37, 894-898. http://dx.doi.org/10.1016/j.eswa.2009.05.062
[37]
Harter, A. and Hopper, A. (1994) A Distributed Location System for the Active Office. IEEE, Network.
[38]
Bahl, P. and Padmanabhan, V.N. (1999) User Location and Tracking in an In-Building Radio Network. Microsoft Research Technical Report: MSR-TR-99-12.
[39]
Pugh, J., Raemy, X., Favre, C., Falconi, R. and Martinoli, A. (2009) A Fast Onboard Relative Positioning Module for Multirobot Systems. IEEE/ASME Transactions on Mechatronics, 14, 151-162. http://dx.doi.org/10.1109/TMECH.2008.2011810
[40]
Bahl, P. and Padmanabhan, V.N. (2000) RADAR: An In-Building RF Based User Location and Tracking System.: Proceedings of IEEE INFOCOM 2000, Israel, March 2000.
