Living Labs
Smart Factory Lab

Smart Factory is a cutting-edge laboratory where theory meets practice, creating solutions for the industry of the future. In line with the Industry 4.0 concept, it offers a unique environment for education, research, and testing of the most advanced technologies—from robotic and automation systems, through digital twins, to IoT, predictive maintenance, and the use of artificial intelligence.

This open space connects students, researchers, and industrial partners into a single ecosystem. Thanks to a combination of a physical production line, virtual simulations, and smart sensors, Smart Factory is a place where it is possible to safely experiment, validate innovations, and push the boundaries of modern manufacturing.

Industry
Services & Equipment

The Smart Factory team, in cooperation with research groups from the Department of Cybernetics and Biomedical Engineering, offers industrial partners a wide range of services—from joint research to the practical implementation of innovations.

Cooperation

Our cooperation includes:

  • "Test-Before-Invest" collaboration in the fields of industrial and mobile robotics, control systems, machine vision, digital twins, and virtual reality.
  • Collaboration with students through the assignment of bachelor's and master's theses.
  • Training and educational programmes for industry professionals.

Joint research projects supported by national and international grant programmes.

Contract research tailored to the specific needs of companies.

Smart Factory's expertise:

  • Design of industrial control systems (PLC, HMI, SCADA).
  • Design of embedded control systems (microcontrollers, sensor networks, IoT, edge computing).
  • Design of measuring systems (virtual instrumentation, condition monitoring).
  • Development of digital twins (Visual Components, Tecnomatix Process Simulate).
  • Modelling and simulation (Comsol, Matlab, Simit).
  • Machine vision systems and their integration.
  • Implementation of advanced methods in signal processing, artificial intelligence, control theory, and numerical computations.