A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System

Main Article Content

Ang Jia He
Min Thu Soe


Obstacle detection system is a system that reacts to the object in the path and perform action such as stopping robot movement and collision prevention according to the design of algorithm which enhance the safety level of robot. This paper examines the overview of sensor technology that associates with obstacle detection system and car-like robot. This review summarizes the effectiveness and weakness of common type of sensors such as lidar, radar, ultrasonic sensor, infrared sensor, computer vision, sensor fusion and sensor array. This paper will also discuss on control methods for car-like robot that includes hand gestures, voice control, infrared remote control, Android based Bluetooth mobile control, and Wi-Fi based mobile control, outlining the effectiveness and limitation of each control method.

[Manuscript received: 24 December 2023 | Accepted: 21 February 2024 | Published: : 30 April 2024]


Article Details

How to Cite
Ang, J. H., & Min, T. S. (2024). A Review on Sensor Technologies and Control Methods for Mobile Robot with Obstacle Detection System. International Journal on Robotics, Automation and Sciences, 6(1), 78–85. https://doi.org/10.33093/ijoras.2024.6.1.11


T. S. Min, K. Z. Thein Oak, and W. K. Wong, “Real Time Fire Detection System with Image Processing”, IJORAS, vol. 3, pp. 19–24, Nov. 2021. doi: 10.33093/ijoras.2021.3.4

Y. Singh and L. Kaur, “Obstacle detection techniques in outdoor environment: Process, study and analysis,” International Journal of Image, Graphics and Signal Processing, vol. 9, no. 5, pp. 35–53, 2017. doi:10.5815/ijigsp.2017.05.05

A. Tsujii, T. Kasashima, H. Hatano and T. Yamazato, "Position Estimation of Slowly Moving Obstacles Using Ultrasonic Sensor Array," IEEE International Ultrasonics Symposium (IUS), Venice, Italy, 2022, pp. 1-4, doi: 10.1109/IUS54386.2022.9957484.

A. Moulay, F. Laoufi, T. Benslimane and O. Abdelkhalek, "FPGA-Based Car-Like Robot Path Follower with Obstacle Avoidance," 2nd International Conference on Mathematics and Information Technology (ICMIT), Adrar, Algeria, 2020, pp. 125-131, doi: 10.1109/ICMIT47780.2020.9047008.

M. F. F. Adnan, K. A. Ahmad, R. Boudville, Z. Hussain and N. I. Husin, "Modelling and Simulation of Omnidirectional Mobile Robot with Line Follower and Obstacles Avoidance," 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), Penang, Malaysia, 2020, pp. 174-179, doi: 10.1109/ICCSCE50387.2020.9204922.

E. A. Otsapa, S. M. Sani and O. A. Ayofe, "Design and implementation of obstacle detection system for an unmanned aerial vehicle," IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON), Lagos, Nigeria, 2022, pp. 1-5, doi: 10.1109/NIGERCON54645.2022.9803168.

K. S, B. J. J, U. G, L. C. V, B. Mridha and P. W. G, "Intelligent Walking Stick with Static and Dynamic Obstacle Detection Technology for Visually Challenged People," 7th International conference on Bio Signals, Images, and Instrumentation (ICBSII), Chennai, India, 2021, pp. 1-6, doi: 10.1109/ICBSII51839.2021.9445155.

N. Ruppert and K. George, "Robotic Arm with Obstacle Detection Designed for Assistive Applications," IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, India, 2022, pp. 437-443, doi: 10.1109/AIC55036.2022.9848935.

J. Singh, M. Dhuheir, A. Refaey, A. Erbad, A. Mohamed and M. Guizani, "Navigation and Obstacle Avoidance System in Unknown Environment," IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), London, ON, Canada, 2020, pp. 1-4, doi: 10.1109/CCECE47787.2020.9255754.

G. Tatsis, K. Koritsoglou, I. Fudos, E. Karvounis, K. Votis and D. Tzovaras, "Design and implementation of obstacle detection system for powered wheelchairs," 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Ioannina, Greece, 2022, pp. 1-4, doi: 10.1109/SEEDA-CECNSM57760.2022.9932958.

P. Patthanajitsilp and P. Chongstitvatana, "Obstacles Detection for Electric Wheelchair with Computer Vision," 14th International Conference on Knowledge and Smart Technology (KST), Chon buri, Thailand, 2022, pp. 97-101, doi: 10.1109/KST53302.2022.9729083.

Y. -C. Lin, C. -T. Lin, W. -C. Liu and L. -T. Chen, "A vision-based obstacle detection system for parking assistance," IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), Melbourne, VIC, Australia, 2013, pp. 1627-1630, doi: 10.1109/ICIEA.2013.6566629.

J. -S. Ha, S. -R. Im, W. -K. Lee, D. -H. Kim and J. -K. Ryu, "Radar based Obstacle Detection System for Autonomous Unmanned Surface Vehicles," 21st International Conference on Control, Automation and Systems (ICCAS), Jeju, Korea, Republic of, 2021, pp. 863-867, doi: 10.23919/ICCAS52745.2021.9649770.

M. Calcroft and A. Khan, "LiDAR-based Obstacle Detection and Avoidance for Autonomous Vehicles using Raspberry Pi 3B," UKACC 13th International Conference on Control (CONTROL), Plymouth, United Kingdom, 2022, pp. 24-29, doi: 10.1109/Control55989.2022.9781465.

D. Hutabarat, M. Rivai, D. Purwanto and H. Hutomo, "Lidar-based Obstacle Avoidance for the Autonomous Mobile Robot," 12th International Conference on Information & Communication Technology and System (ICTS), Surabaya, Indonesia, 2019, pp. 197-202, doi: 10.1109/ICTS.2019.8850952.

D. M. Suraj, V. A. Prasad, S. Lokesh, S. G. Hebbale and V. E. Salis, "Obstacle Detection for the Visually Impaired Using Arduino," 3rd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2019, pp. 260-265, doi: 10.1109/ICOEI.2019.8862635.

T. Froneman, D. van den Heever and K. Dellimore, "Development of a wearable support system to aid the visually impaired in independent mobilization and navigation," 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju, Korea (South), 2017, pp. 783-786, doi: 10.1109/EMBC.2017.8036941.

Pooja U R, Kendra N, Dr. A. Murugarajan, "Obstacle Detection AGV," International Journal of Engineering Research & Technology (IJERT), Vol 12, Issue 08, 2023, doi: 10.17577/IJERTV12IS080097.

T. B. Patil and Y. Fulse, “Artificial Intelligence in the Construction Industry- Obstacle Detection on Construction Site Using IR Sensor”, International Journal of Emerging Technologies and Innovative Research (JETIR), Vol 9, Issue 6, 2022, pp. i464-i471. [Online]. Available: https://www.jetir.org/papers/JETIR2206856.pdf.

Z. Zou, Q. Wu, Y. Zhang and K. Wen, "Design of Smart Car Control System for Gesture Recognition Based on Arduino," IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE), Guangzhou, China, 2021, pp. 695-699, doi: 10.1109/ICCECE51280.2021.9342137.

R. Sissodia, M. S. Rauthan and V. Barthwal, "Arduino Based Bluetooth Voice-Controlled Robot Car and Obstacle Detector," IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India, 2023, pp. 1-5, doi: 10.1109/SCEECS57921.2023.10063092.

C. Zhang, J. Su, W. Zhang and J. Zhou, "Design of Crawler Mobile Car with Infrared Remote Control," 6th International Conference on Control, Automation and Robotics (ICCAR), Singapore, 2020, pp. 430-434, doi: 10.1109/ICCAR49639.2020.9108034.

L. Chen, J. Zhang and Y. Wang, "Wireless Car Control System Based on ARDUINO UNO R3," 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Xi'an, China, 2018, pp. 1783-1787, doi: 10.1109/IMCEC.2018.8469286.

P. Q. Anh, T. duc Chung, T. Tuan and M. k. a. A. Khan, "Design and Development of an Obstacle Avoidance Mobile-controlled Robot," IEEE Student Conference on Research and Development (SCOReD), Bandar Seri Iskandar, Malaysia, 2019, pp. 90-94, doi: 10.1109/SCORED.2019.8896296.

S. Singh, M. Dilshad, M. Pushpavalli, P. Abirami, M. Kavitha and R. Harikrishnan, "Automatic Monitoring and Controlling of Wi-Fi Based Robotic Car," International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2023, pp. 1-6, doi: 10.1109/ACCAI58221.2023.10199457.