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Smart Conveyor Learning Platform Supporting Robotics Education in MERIT

Practical, hands-on learning is an essential part of modern engineering education. Within the MERIT project, Tallinn University of Technology (TalTech) has integrated advanced industrial technologies into teaching environments to help students better understand how smart manufacturing systems operate in real life.

One example of this approach is the smart conveyor-based learning platform used in the course EMT0120 Industrial Robotics and Advanced Manufacturing. The platform allows students to explore how industrial robots and automated systems are applied in manufacturing environments and how robotic production systems are designed.

Learning Smart Manufacturing Through Real Systems

The conveyor line acts as a flexible demonstration platform where students can observe and experiment with different industrial automation scenarios. Instead of studying theoretical examples only, students can interact with a physical system that reflects real-world manufacturing processes.

Within the MERIT project, several additional components have been integrated into the conveyor platform. These include sensors, RFID identification devices, cameras and monitoring components that allow the system to detect, track and analyse products moving through the production line.

Each of these elements serves a specific educational purpose. For example, students can observe how products are detected by sensors, how items are identified using RFID technology, and how events in the system trigger automated actions.

Connecting Physical Systems and Digital Data

A key learning objective of the platform is helping students understand the connection between physical manufacturing processes and digital information systems. As products move along the conveyor, sensors collect data that can be used to monitor system performance, trigger events, and support decision-making processes.

Students can also experiment with different configurations of the system. Because the platform is designed to be modular, the same physical setup can be reused for multiple learning scenarios without changing the underlying hardware structure. This flexibility allows instructors to demonstrate various smart manufacturing use cases while keeping the system accessible for students.

Supporting Industry-Relevant Skills

By working with real industrial technologies, students gain practical experience with the kinds of systems they are likely to encounter in modern factories. They learn not only how robotic and automated systems operate, but also how sensor data, monitoring tools and digital production technologies interact within a larger manufacturing ecosystem.

The smart conveyor learning platform is therefore an example of how the MERIT project supports practice-oriented engineering education, bringing real industrial technologies into the classroom and helping students develop the skills needed for future careers in smart manufacturing and industrial automation.