ACCURACY AND PRECISION OF AN INDOOR AUTONOMOUS MOBILE ROBOT LOCALIZATION UTILIZING A RFID READER MFRC522

Authors

  • Harsa Dhani Universitas Katolik Widya Karya

Keywords:

Localization, RFID robot, Mobile robot localization

Abstract

To properly navigate inside a factory or a building, a mobile robot should know its position relative to the working environment. The estimation of the robot position based on sensors interpretation is called localization. One particular method of localization is by the utilization of Radio Frequency Identification (RFID) tags mounted on the floor and a RFID reader and an antenna installed on the robot. When the robot reads a particular tag, the robot can estimate its position. The aim of this research is to examine the accuracy and the precision of mobile robot localization equipped with RFID reader MFRC522 which detects chip less tag MIFARE S50. A mobile robot with four wheels was put on a position and a tag along with a ruler was attached on 60 cm ahead. When the robot detected the tag, it stopped, and the stop positions were recorded for accuracy and precision. The robot gained accuracy of 6,3 cm and precision of between 0,867 cm dan 1,263 cm. The prominent factors affecting inaccuracy and imprecision were the robot speed and the lack of braking mechanism. However, the results are still reasonable for indoor mobile robot application in relative to the robot size.  

References

Niloy, M. A., Shama, A., Chakrabortty, R. K., Ryan, M. J., Badal, F. R., Tasneem, Z., Ahamed, M. H., Moyeen, S. I., Das, S. K., Ali, M. F., Islam, M. R., & Saha, D. K. (2021). Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review. IEEE Access, 9, 35338–35370. https://doi.org/10.1109/ACCESS.2021.3062557

Wu, C., Gong, Z., Tao, B., Tan, K., Gu, Z., & Yin, Z. (2023). RF-SLAM: UHF-RFID based Simultaneous Tags Mapping and Robot Localization Algorithm for Smart Warehouse Position Service. IEEE Transactions on Industrial Informatics, PP, 1–11. https://doi.org/10.1109/TII.2023.3252405

Panigrahi, P. K., & Bisoy, S. K. (2022). Localization strategies for autonomous mobile robots: A review. Journal of King Saud University - Computer and Information Sciences, 34(8), 6019–6039. https://doi.org/10.1016/j.jksuci.2021.02.015

Tripathy, H. K., Mishra, S., Thakkar, H. K., & Rai, D. (2021). CARE: A Collision-Aware Mobile Robot Navigation in Grid Environment using Improved Breadth First Search. Computers and Electrical Engineering, 94(June). https://doi.org/10.1016/j.compeleceng.2021.107327

Suresh, S., & Chakaravarthi, G. (2022). RFID technology and its diverse applications: A brief exposition with a proposed Machine Learning approach. Measurement: Journal of the International Measurement Confederation, 195(February), 111197. https://doi.org/10.1016/j.measurement.2022.111197

Haibi, A., Oufaska, K., Yassini, K. El, Boulmalf, M., & Bouya, M. (2022). Systematic Mapping Study on RFID Technology. IEEE Access, 10, 6363–6380. https://doi.org/10.1109/ACCESS.2022.3140475.

Bilic, H. G., Buyukoztekin, T., & Ozdemir, S. (2019). The Use of Chipless Sensors with RFID for Condition Monitoring. 2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018, 1–4. https://doi.org/10.1109/IDAP.2018.8620810.

Ibrahim, A. A. A., Nisar, K., Hzou, Y. K., & Welch, I. (2019). Review and Analyzing RFID Technology Tags and Applications. 13th IEEE International Conference on Application of Information and Communication Technologies, AICT 2019 - Proceedings. https://doi.org/10.1109/AICT47866.2019.8981779.

Choi, B. S., Lee, J. W., & Lee, J. J. (2008). Localization and map-building of mobile robot based on RFID Sensor fusion system. IEEE International Conference on Industrial Informatics (INDIN), 412–417. https://doi.org/10.1109/INDIN.2008.4618134.

Tao, B., Wu, H., Gong, Z., Yin, Z., & Ding, H. (2021). An RFID-Based Mobile Robot Localization Method Combining Phase Difference and Readability. IEEE Transactions on Automation Science and Engineering, 18(3), 1406–1416. https://doi.org/10.1109/TASE.2020.3006724

Konieczny, M., Pawłowicz, B., Potencki, J., & Skoczylas, M. (2017, September). Application of RFID technology in navigation of mobile robot. In 2017 21st European Microelectronics and Packaging Conference (EMPC) & Exhibition (pp. 1-4). IEEE.

Adafruit. [Data sheet]. https://media.digikey.com/pdf/Data%20Sheets/Adafruit%20PDFs/3777_Web.pdf

NXP B.V. ((2007, May 22) MFRC522 [Data sheet]. https://www.elecrow.com/download/MFRC522%20Datasheet.pdf

Ross, S. M. (2009). Introduction to Probability and Statistics for Engineers and Scientists (4th ed.) Academic press.

Liu, Y., Zhao, C., & Ren, M. (2022). An Enhanced Hybrid Visual–Inertial Odometry System for Indoor Mobile Robot. Sensors, 22(8), 2930.

Norzam, W. A. S., Hawari, H. F., & Kamarudin, K. (2019, November). Analysis of mobile robot indoor mapping using GMapping based SLAM with different parameter. In IOP Conference Series: Materials Science and Engineering (Vol. 705, No. 1, p. 012037). IOP Publishing.

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Published

2023-06-30

How to Cite

Harsa Dhani. (2023). ACCURACY AND PRECISION OF AN INDOOR AUTONOMOUS MOBILE ROBOT LOCALIZATION UTILIZING A RFID READER MFRC522 . Mechanical, Energy and Material (METAL), 1(1), 01–06. Retrieved from https://ejournal.widyakarya.ac.id/index.php/metal/article/view/38