Abstract
In this paper, device development for AGV using magnet navigation and method of magnetic localization method are described. The most commercial AGV is using magnet navigation. This is more stable and lower cost of sensors than different navigation systems of AGV. However, the commercial magnet navigation devices use magnet hall sensor of digital type and those accuracy are decided by the number of magnet hall sensor and interval. The interval is about 10mm generally because interference occurs in the case of close interval, but the AGV using this interval has low accuracy. This AGV doesn’t matter in straight driving, but occur breakaway or false operation in curve driving. Therefore, we create an magnet navigation device using magnet hall sensor of analog type and design fitting functions with the experimental results of magnet hall sensor in the work environment. Based on this, this paper proposes the method to detect magnet navigation line. In the result of proposed method, localization method accuracy is improved more about 16.73mm by this method than the commercial magnet navigation device and space to detect magnet navigation line is larger.
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References
Yuste, H., Armesto, L., Tornero, J.: Benchmark tools for evaluating AGVs at industrial environments. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2657–2662 (2010)
Gutsche, R., Laloni, C., Wahl, F.M.: A flexible transport system for industrial environments using global sensor and navigation concepts. Robotics and Autonomous Systems 14(2–3), 85–98 (1995)
David, H.P., Humberto, M.B.: Decentralized coordination of autonomous AGVs in flexible manufacturing systems. In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3674–3679 (2008)
Kim, J.M., Jung, K.H., Kim, J.Y., Song, H.J., Kim, S.S.: Positioning Accuracy Improvement of Laser Navigation using Unscented Kalman Filter: Intelligent Autonomous Systems. Advances in Intelligent Systems and Computing 193, 807–816 (2013)
Jung, S.Y., Kim, J.M., Kim, S.S.: Simultaneous localization and mapping of a wheel-based autonomous vehicle with ultrasonic sensors. Artificial Life and Robotics 14(2), 186–190 (2009)
Hung, N., Im, J.S., Jeong, S.K., Kim, H.K., Kim, S.B.: Design of a sliding mode controller for an automatic guided vehicle and its implementation. International Journal of Control, Automation, and Systems 8(1), 81–90 (2010)
Jia, Z., Balasuriya, A., Challa, S.: Sensor fusion-based visual target tracking for autonomous vehicles with the out-of-sequence measurements solution. Robotics and Autonomous Systems 56(2), 157–176 (2008)
Chan, C.Y.: A system review of magnetic sensing system for ground vehicle control and guidance: California PATH Research Report. UCB–ITS–PRR–2002- 20 (2002)
Wakaumi, H., Nakamura, K., Matsumura, T.: Development of an automated wheelchair guided by a magnetic ferrite marker lane. Journal of Rehabilitation Research and Development 29(1), 27–34 (1992)
Chan, C.Y., Tan, H.T.: Evaluation of Magnetic Markers as a Position Reference System For Ground Vehicle Guidance and Control: California PATH Research Report (March 2003)
Ryoo, Y.J., Kim, E.S., Lim, Y.C., Mok, J.K., Chang, S.K.: Intelligent Positioning System for Magnetic Sensor Based Autonomous Vehicle. In: SCIS & ISIS (2004)
Woo, S.B., Jung, K.H., Kim, J.M., Park, J.J., Kim, S.S.: Velocity Control Method of AGV for Heavy Material Transport. Journal of Korean Institute of Intelligent Systems 20(3), 394–399 (2010)
Evans, D., Hu, L.: Localization for mobile sensor networks. In: Proceedings of the 10th Annual International Conference on Mobile Computing and Networking, pp. 45–57 (2004)
Thrun, S., Bennewitz, M., Burgard, W., Cremers, A.B., Dellaert, F., Fox, D.: MINERVA: A Second-Generation Museum Tour-Guide Robot. In: Proceeding of the IEEE Conference on Robotics and Automation, pp. 1999–2005 (1999)
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Cho, H., Kim, J., Song, H., Park, M., Kim, S. (2013). Method and Development of Magnetic Positioning Device for Magnetic Guided Vehicle. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lecture Notes in Computer Science(), vol 8102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40852-6_62
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DOI: https://doi.org/10.1007/978-3-642-40852-6_62
Publisher Name: Springer, Berlin, Heidelberg
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