prof. Ing. Michal Prauzek, Ph.D.
Lab Administrator
Living Labs
Smart Factory
Smart Factory is a comprehensive platform built in accordance with the principles of the Industry 4.0 concept. It is a space for the interaction and cooperation of the academic sphere with industrial partners, built at VŠB-TU Ostrava within the project “Platform of new technologies FEI CPIT TL3”.
Industry
Services & Equipment
Our cooperation includes:
Digital Twin
Includes simulation, virtual commissioning, optimization, and scenario verification for industrial operations and layout changes.
Industrial robotics
The team supports industrial partners from concept design to deployment-ready validation using the lab robotic platforms and production test workflows.
Machine vision
The lab supports both 2D and 3D vision tasks including industrial inspection and bin-picking-oriented guidance workflows.
Mobile robotics
Suitable for transport automation, collaborative logistics, and testing of mobile robot deployment in realistic factory layouts.
VR / AR / 5G
Used for digital twin exploration, operator support, remote assistance, and low-latency connectivity experiments in industrial environments.
Equipment & facilities
Basler and Photoneo vision systems
Includes Photoneo 3D scanner for bin picking and machine vision applications.
Machine Vision
Robotics
Digital twin software stack
Used for simulation, virtual commissioning, and optimization before physical deployment.
Digital Twin
Industry 4.0
Immersive VR / AR / 5G platform
Supports digital twin exploration, maintenance support, and industrial communication experiments.
Digital Twin
Industry 4.0
KUKA and Mitsubishi robotic cells
The lab operates 10 industrial robots used for assembly, disassembly, precise measurement, bin picking, and educational robotic cells.
Industry 4.0
Robotics
MiR autonomous mobile robots
Capable of independent navigation throughout the laboratory for mobile intralogistics scenarios.
Robotics
Projects
Energy Harvesting
Enhance Europe – Energy Harvesting Collectors for Urban Road Pavement
Energy Harvesting
Highly flexible and modular PCM based thermal energy storage system for efficient heating and cooling applications (NewHeatIntegrated)
Industry 4.0
Predictive Maintenance
Research and development of predictive diagnostics components for rolling stock
TOP Publications
Konečný J., Ožana Š., Choutka J., Prauzek M.
Towards railways safety: A systematic review on predictive diagnostics for axle bearings
Measurement,
257 (A), 118510, 2026.
Hercík R., Vaňuš J., Byrtus R., Jahn T., Bilík P., Koziorek J.
Advanced Mobile Robot Navigation to Support Smart Home Care within Smart Cities
Human-centric Computing and Information Sciences,
15, 21, 2025.
Lara de Leon M. A., Abdelhameed I. A., Koziorek J.
Anomaly-Focused Augmentation Method for Industrial Visual Inspection
IEEE Access,
13, 89118-89139, 2025.
Bailová M., Béreš M., Beremlijski P., Koziorek J., Prauzek M., Konečný J.
Method for estimating the pose of a robotic arm using a camera and calibration pattern
Ain Shams Engineering Journal,
16 (9), 103525, 2025.
Contact Persons
prof. Ing. Jiří Koziorek, Ph.D.
Lab Leader