Education

Department of Automation

Education at the Department of Automation combines modern engineering knowledge with project-based learning, industry engagement and the development of future-oriented skills. Students take part in industry visits, carry out their own technical projects and use modern tools applied in automation, robotics and intelligent systems.

Industrial robotics Student projects VR and new technologies Automation and control Practical skills

Modern education

Studies based on experience, technology and practice

The Department of Automation focuses on education that goes beyond traditional academic classes. Students develop their skills through contact with modern technologies, participation in industry events and project work that responds to real challenges of contemporary engineering.

Contact with industry

Students learn about current solutions used in robotics and automation during trade fair visits, meetings with experts and technology events.

Engineering projects

The study programme includes practical projects that develop competences in programming, control, data analysis and systems integration.

Modern working environments

Students use tools and technologies applied in contemporary automation, robotics, as well as vision and mobile systems.

Learning by doing

Classes support the development of independence, creative thinking and practical problem-solving skills in engineering.

Educational visits

Student visit to the STOM Robotics trade fair

Students of the Robotics of Manufacturing Processes programme visited the STOM Robotics trade fair in Kielce. It was a valuable opportunity to explore current trends in industrial robotics and gain direct contact with solutions presented by market leaders.

Modern robotic technologies

The fair featured, among others, robotic welding stations and the latest collaborative robots used in modern production processes.

Practical experience

Students could test themselves in the role of a welder at a virtual training station and take part in competitions organised by exhibitors.

Inspiration for projects

The visit also created space for discussions with industrial robotics experts about student projects, competence development and future career paths.

Laboratories and technologies

Testing the VR laboratory and next-generation environments

Education at the department also includes the use of modern laboratory environments, including virtual reality technologies. Such solutions support learning how to operate technical systems, process simulation and the development of practical skills in a safe and modern environment.

Immersive learning environment

Virtual reality makes it easier to understand the operation of automation and robotics systems and supports learning through interaction and experience.

Safe testing of solutions

VR environments enable the analysis of devices and workstations without the need to engage full industrial infrastructure.

Preparation for Industry 4.0

Students work with technologies that are increasingly used in modern industry, training and process design.

Student project

Navigation system for an autonomous mobile robot

One example of practical education at the Department of Automation is a student project involving the development and programming of a self-localisation system for a wheeled mobile robot using optical markers and a camera.

Project concept

Markers encoding their location coordinates were placed at selected positions on the floor. The robot, equipped with a camera, analysed the image, detected the marker, decoded the stored information and updated its position in the working environment.

Autonomous robot operation

After start-up, the robot did not know its position or direction, so it first searched for the initial marker. After reading the encoded data, it determined its location and then moved to the next point in the workspace.

Trajectory analysis

The system also made it possible to determine the robot’s travel trajectory based on the paths covered by its wheels, which allowed the correctness of the navigation system to be assessed.

Tools and software

Design based on real computing platforms

The project required the integration of hardware, control algorithms and image processing. Thanks to this, students were able to work with real solutions used in mobile robotics and autonomous systems.

Arduino Due

The microcontroller was responsible for implementing control algorithms for two drive-wheel servo motors and for calculating the robot’s position.

Raspberry Pi 3

The platform executed camera image-processing algorithms and robot route-planning algorithms in the working environment.

Matlab / Simulink

Algorithms for both microcomputers were developed and compiled using the Matlab/Simulink programming environment.

Education in practice

From technological inspiration to independent engineering solutions

The Department of Automation creates a learning environment in which students develop technical competences through contact with industry, project work, modern laboratories and real engineering challenges.

European Funds – PL2022 project

Project co-financed by the European Union under the European Social Fund, Operational Programme Knowledge Education Development 2014–2020 "PL2022 – Integrated Development Programme of Lublin University of Technology" POWR.03.05.00-00-Z036/17