Embedded Design and Implementation of Mobile Robot for Surveillance Applications

Abdulkareem Sh. Mahdi Al-Obaidi, Arif Al-Qassar, Ahmed R. Nasser, Ahmed Alkhayyat, Amjad J. Humaidi, Ibraheem K. Ibraheem


The surveillance and security of areas such as home, laboratory, office, factory, and airports, are important to prevent any threatening to human lives. Mobile robots are proven their effectiveness in a large number of applications, especially in hazardous areas where they can be remotely controlled by humans to accomplish certain tasks. This research paper presents a design and implementation of a mobile robot for surveillance and security applications. The main objective of the design is to lower the cost and the power consumption of the mobile robot which accomplish using low-cost open-source hardware such as Arduino and Raspberry Pi. The robot is connected wirelessly via a low-power ZigBee module to the control station to allow the operator for controlling the mobile robot motions and monitoring the physical events in the environment where the robot is used.  Sensors such as camera, temperature, and range are embedded in the robot to sense and monitor human motion, the room temperature, and the distance of the surrounding obstacles. The testing of the implemented mobile robot shows that it can run continuously for approximately 6.5 hours at a motor shaft speed 25 rpm of unlit the need to recharge the battery.


Mobile robot; Security; Surveillance; Wireless control;

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Ajeil, F. H., Ibraheem, I. K., Azar, A. T., and Humaidi, A. J. (2020a). Grid-based mobile robot path planning using aging-based ant colony optimization algorithm in static and dynamic environments. Sensors, 20(7), 1880.

Ajeil, F. H., Ibraheem, I. K., Sahib, M. A., and Humaidi, A. J. (2020b). Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm. Applied Soft Computing, 89(2020), 106076.

Ajeil, F. H., Ibraheem, I. K., Azar, A. T., and Humaidi, A. J. (2020c). Autonomous navigation and obstacle avoidance of an omnidirectional mobile robot using swarm optimization and sensors deployment. International Journal of Advanced Robotic Systems, 17(3), 1729881420929498.

Araújo, A., Portugal, D., Couceiro, M. S., and Rocha, R. P. (2015). Integrating Arduino-based educational mobile robots in ROS. Journal of Intelligent and Robotic Systems, 77(2), 281-298.

Azar, A. T., Serrano, F. E., Kamal, N. A., Koubaa, A., Ammar, A., Humaidi, A. J., and Ibraheem, I. K. (2021). Lagrangian Dynamic Model Derivation and Energy Shaping Control of Non-holonomic Unmanned Aerial Vehicles. The International Conference on Artificial Intelligence and Computer Vision, 1377(2021), 483-493.

Bharathi, B., and Samuel, B. S. (2013). Design and construction of rescue robot and pipeline inspection using zigbee. International Journal of Scientific Engineering and Research, 1(1), 75-78.

Bhatia, S., Dhillon, H. S., and Kumar, N. (2011). Alive human body detection system using an autonomous mobile rescue robot. 2011 Annual IEEE India Conference, 2011, 1-5.

Bokade, A. U., and Ratnaparkhe, V. R. (2016). Video surveillance robot control using smartphone and Raspberry pi. 2016 International Conference on Communication and Signal Processing (ICCSP), 2016, 2094-2097.

Boufera, F., Debbat, F., Monmarché, N., Slimane, M., and Khelfi, M. F. (2018). Fuzzy inference system optimization by evolutionary approach for mobile robot navigation. International Journal of Intelligent Systems and Applications, 10(2), 85.

Cardeira, C., and Da Costa, J. S. (2005, November). A low cost mobile robot for engineering education. 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005, 2162-2167.

Carnegie, D. A., Loughnane, D. L., and Hurd, S. A. (2004). The design of a mobile autonomous robot for indoor security applications. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 218(5), 533-543.

Chen, Y. Y., Chen, Y. H., and Huang, C. Y. (2018). Wheeled mobile robot design with robustness properties. Advances in Mechanical Engineering, 10(1), 1687814017745253.

Humaidi, A. J., and Kadhim, T. M. (2018). Spiking Versus Traditional Neural Networks for Character Recognition on FPGA Platform. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(3), 109-115.

Humaidi, A. J., Fadhel, M. A., and Ajel, A. R. (2019). Lane detection system for day vision using altera DE2. Telkomnika, 17(1), 349-361.

Humaidi, A. J., Kadhim, T. M., Hasan, S., Ibraheem, I. K., and Azar, A. T. (2020). A Generic Izhikevich-Modelled FPGA-Realized Architecture: A Case Study of Printed English Letter Recognition. 2020 24th International Conference on System Theory, Control and Computing (ICSTCC), 2020, 825-830

Ibari, B., Benchikh, L., Elhachimi, A. R. H., and Ahmed-Foitih, Z. (2016). Backstepping approach for autonomous mobile robot trajectory tracking. Indonesian Journal of Electrical Engineering and Computer Science, 2(3), 478-485.

Ibraheem, G. A. R., Azar, A. T., Ibraheem, I. K., and Humaidi, A. J. (2020). A novel design of a neural network-based fractional PID controller for mobile robots using hybridized fruit fly and particle swarm optimization. Complexity, 2020, 2-18.

Liu, P., Sun, J., Qin, H., and Wang, C. (2017). The area-coverage path planning of a novel memristor-based double-stroll chaotic system for autonomous mobile robots. 2017 Chinese Automation Congress (CAC), 2017,6982-6987.

Lopez, A., Paredes, R., Quiroz, D., Trovato, G., and Cuellar, F. (2017). Robotman: A security robot for human-robot interaction. 2017 18th International Conference on Advanced Robotics (ICAR), 2017, 7-12.

López-Rodríguez, F. M., and Cuesta, F. (2016). Andruino-a1: Low-cost educational mobile robot based on android and arduino. Journal of Intelligent and Robotic Systems, 81(1), 63-76.

Najm, A. A., Ibraheem, I. K., Azar, A. T., and Humaidi, A. J. (2020). Genetic optimization-based consensus control of multi-agent 6-dof uav system. Sensors, 20(12), 3576.

Nasrinahar, A., and Chuah, J. H. (2018). Intelligent motion planning of a mobile robot with dynamic obstacle avoidance. Journal on Vehicle Routing Algorithms, 1(2), 89-104.

Park, J. H., Uhm, T. Y., Bae, G. D., and Choi, Y. H. (2018). Stability evaluation of outdoor unmanned security robot in terrain information. 2018 18th International Conference on Control, Automation and Systems (ICCAS), 2018, 955-957.

Raj, P. A., and Srivani, M. (2018). Internet of robotic things based autonomous fire fighting mobile robot. 2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2018, 1-4.

Trovato, G., Lopez, A., Paredes, R., and Cuellar, F. (2017). Security and guidance: Two roles for a humanoid robot in an interaction experiment. 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2017, 230-235.

DOI: https://doi.org/10.17509/ijost.v6i2.36275


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