Design and Development of a Smart Measurement Robot for Educational Training

Electrical Engineering

The rapid development of robotics, embedded systems, and intelligent automation technologies has created increasing demand for practical engineering education platforms that combine theoretical knowledge with real-world applications. This research focuses on the design and development of a smart measurement robot intended for educational training purposes. The proposed system aims to provide engineering students with a practical platform for studying robotics, sensor integration, embedded programming, motor control, measurement systems, and basic Internet of Things (IoT) concepts. The developed robot system integrates several main hardware components, including the ESP32 microcontroller, VL53L0X Time-of-Flight distance sensor, L298N motor driver, DC encoder motors, LCD display module, and a mobile robot chassis. The ESP32 acts as the central processing unit responsible for sensor communication, motor control, data processing, and display management. The VL53L0X sensor is used to perform automatic distance measurement based on Time-of-Flight technology. The robot is capable of moving toward a target object, stopping at a stable position, measuring the distance, processing the collected data, and displaying the measurement result. The software system was developed using the Arduino IDE platform and C/C++ programming language. Several software modules were implemented, including motor control, sensor reading, data filtering, LCD display, and measurement error calculation. To improve measurement stability, an averaging algorithm was applied to reduce sensor noise and random fluctuations. Experimental tests were conducted under laboratory conditions to evaluate system performance and measurement accuracy. The experimental results demonstrated that the robot achieved stable operation and acceptable measurement accuracy for educational applications. The research confirms that low-cost hardware components can be successfully integrated into a practical educational robotics platform. The developed robot not only demonstrates the principles of automatic measurement and robotic control but also provides students with handson experience in embedded systems and intelligent automation technologies. Furthermore, the modular design of the system allows future expansion toward advanced functions such as IoT monitoring, PID motor control, computer vision integration, and autonomous navigation. Therefore, the proposed measurement robot represents a valuable educational tool for engineering laboratories and robotics training programs.

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