Object Distance Detection System with Ultrasonic Sensor on Mobile Robot
Main Article Content
Abstract
Indonesia is home to 76 active volcanoes, one of them being Mount Tangkuban Perahu. To ensure that a robot that can move around to collect data does not get stopped in its tracks, HC-SR04 ultrasonic sensors are used to detect obstacles within 100 cm. The sensors were first characterized by measuring distances between 10 and 100 cm with an increment of 10 cm. They were then tested in a laboratory environment with differing conditions. Finally, they were tested on Mount Tangkuban Perahu. Characterization shows that, within 100 cm, one of the two sensors had good linearity, while the other showed larger error values. This difference in performance carried onto the laboratory scale test and the field test.
Downloads
Download data is not yet available.
Article Details
How to Cite
Ramdhani, A., Ramadan, H., Permatasari, I., Abi Hanafi, A., Sara Sawita, I. K., Evita, M., & Djamal, M. (2025). Object Distance Detection System with Ultrasonic Sensor on Mobile Robot. Indonesian Journal of Physics, 36(1), 11 - 17. https://doi.org/10.5614/itb.ijp.2025.36.1.2
Section
Articles
References
[1] Hariyono, E., & S, L. (2018). The Characteristics of Volcanic Eruption in Indonesia. InTech. doi: 10.5772/intechopen.71449
[2] Badan Nasional Penanggulangan Bencana, Data Bencana Indonesia 2023, Vol. 3. (2024).
[3] Evita, M., Djamal, M., Zimanowski, B., & Schilling, K. (2015, November). Fixed-mode of mobile monitoring system for Indonesian volcano. In 2015 4th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME) (pp. 282-287). IEEE.
[4] Evita, M., Djamal, M., Zimanowski, B., & Schilling, K. (2017). Mobile Robot Deployment Experiment for Mobile Mode of Mobile Monitoring System for Indonesian Volcano. In Proceeding of International Conference on Technology and Social Science, Keynote Lecture.
[5] Evita, M., Zakiyyatuddin, A., Seno, S., Kumalasari, R., Lukado, H., & Djamal, M. (2020). Development of a robust mobile robot for volcano monitoring application. Journal of Physics Conference Series, 1572(1), 012016. DOI: 10.1088/1742-6596/1572/1/012016
[6] Bovcon, Muhovič J., Vranac, D., Mozetič, D., J. Perš, and Kristan, M. (2022). MODS—A USV-Oriented Object Detection and Obstacle Segmentation Benchmark. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 13403-13418. DOI: 10.1109/TITS.2021.3124192.
[7] N. I. Abdulkhaleq, I. J. Hasan, and N. A. J. Salih, Investigating the resolution ability of the HC-SRO4 ultrasonic sensor, IOP Conf. Ser.: Mater. Sci. Eng., 745, 012043, 2020.
[8] HandsOn Technology, HC-SR04 Ultrasonic Sensor Module – User Guide, V1.0.
[9] Chen, A., Ma, J., & Ye, H. (2019). Design and Implementation of a Vehicle Parking Positioning Assistant Device. DOI: 10.2991/eee-19.2019.31.
[10] Standard, O. A. S. I. S. (2019). MQTT Version 5.0. Retrieved June, 22(2020), 1435.
[11] Grafana OSS and Enterprise | Grafana documentation. (n.d.). Grafana Labs.
[12] Node-RED Concepts : Node-RED. (n.d.).
[2] Badan Nasional Penanggulangan Bencana, Data Bencana Indonesia 2023, Vol. 3. (2024).
[3] Evita, M., Djamal, M., Zimanowski, B., & Schilling, K. (2015, November). Fixed-mode of mobile monitoring system for Indonesian volcano. In 2015 4th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME) (pp. 282-287). IEEE.
[4] Evita, M., Djamal, M., Zimanowski, B., & Schilling, K. (2017). Mobile Robot Deployment Experiment for Mobile Mode of Mobile Monitoring System for Indonesian Volcano. In Proceeding of International Conference on Technology and Social Science, Keynote Lecture.
[5] Evita, M., Zakiyyatuddin, A., Seno, S., Kumalasari, R., Lukado, H., & Djamal, M. (2020). Development of a robust mobile robot for volcano monitoring application. Journal of Physics Conference Series, 1572(1), 012016. DOI: 10.1088/1742-6596/1572/1/012016
[6] Bovcon, Muhovič J., Vranac, D., Mozetič, D., J. Perš, and Kristan, M. (2022). MODS—A USV-Oriented Object Detection and Obstacle Segmentation Benchmark. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 13403-13418. DOI: 10.1109/TITS.2021.3124192.
[7] N. I. Abdulkhaleq, I. J. Hasan, and N. A. J. Salih, Investigating the resolution ability of the HC-SRO4 ultrasonic sensor, IOP Conf. Ser.: Mater. Sci. Eng., 745, 012043, 2020.
[8] HandsOn Technology, HC-SR04 Ultrasonic Sensor Module – User Guide, V1.0.
[9] Chen, A., Ma, J., & Ye, H. (2019). Design and Implementation of a Vehicle Parking Positioning Assistant Device. DOI: 10.2991/eee-19.2019.31.
[10] Standard, O. A. S. I. S. (2019). MQTT Version 5.0. Retrieved June, 22(2020), 1435.
[11] Grafana OSS and Enterprise | Grafana documentation. (n.d.). Grafana Labs.
[12] Node-RED Concepts : Node-RED. (n.d.).