Thank you for your interest in the details of our demo stations!
We are currently preparing a comprehensive overview of all the activities we’re planning – and some of them are already available to explore on this page. Information about each station, the topics they cover, and the people you’ll meet there is being added gradually, so keep checking back to make sure you don’t miss anything.
We recommend going through the list of available demo stations below and discovering what interests you most. We look forward to seeing you!
Robotic 3D Printing from Polymers and Metals
Focus: Additive manufacturing, 3D printing
Lead: Tomáš Jochman
Location: RICAIP Testbed Prague, Ground Floor, Building B
Robotic 3D printing opens new possibilities in additive manufacturing, both for production and repair of existing parts. Thanks to the robot’s large working area, it is possible to work with parts that cannot be made using traditional 3D printers. We will also showcase robotic 3D printing with a Meltio laser deposition head, which allows printing with two metal materials simultaneously. Additionally, we’ll present our research results enabling the design of robotic 3D printing workflows using a digital twin, optimizing the entire process.
Digital Twin and NVIDIA Omniverse
Focus: Digital twin, process simulation, AI model training
Who it helped: Continental Automotive Czech Republic
Lead: Tomáš Jochman
Location: RICAIP Testbed Prague, Ground Floor, Building B
The NVIDIA Omniverse project brings new opportunities for industrial digital twins. It allows for precise simulation of production processes, robot path verification, and real-time error detection. Its realistic visual environment and random scene generation support efficient AI training for object recognition and 6D pose estimation. We’ll show how this can be integrated into a digital twin for safe testing and more effective collaboration. Our research shows how Omniverse helps bridge the gap between simulation and reality, optimizing complex industrial applications.
Process Optimization in Manufacturing, Healthcare, Logistics, Energy, Defense, and More
Focus: Process optimization, AI in industry, data-driven methods
Who it helped: Škoda AUTO, PPL, ERA, EATON, Continental, Beckman Coulter, Siemens Energy, DECCI, Air Navigation Services CR, MÚÚÚ Písek, Blumenbecker, FN Hradec Králové, FN Motol, FN Královské Vinohrady, Purem Rakovník, Znojmo Hospital, Humanomed, Pointee
Lead: Přemysl Šůcha
Location: To be announced
Our group focuses on analyzing, simulating, and primarily optimizing any kind of process. We base our optimization methods on mathematical principles, extending them with data-driven and AI techniques to fit specific operational needs. We have over 20 years of experience in this field.
Autonomous Vehicles
Focus: Autonomous vehicles, AI driving, real-time software
Who it helped: Porsche Engineering, Škoda Auto, Digiteq Automotive, TÜV SÜD
Lead: Michal Sojka
Location: JP-A122 (Autonomous Vehicles Lab)
We work on autonomous vehicles across the entire stack – from electronics and low-level (real-time, safety) software to AI-based driving applications. Our experiments start in simulators and are always validated on real vehicles. We have implemented projects for automated parking, Automated Lane Keeping Systems (ALKS), and are currently working on intersection navigation.
Intelligent Decision-Making and Planning
Focus: Automated planning, intelligent decision-making
Lead: Lukáš Chrpa
Location: To be announced
We research techniques for automated planning and intelligent decision-making. Our focus includes centralized traffic routing and the concept of “planning against nature,” which allows autonomous entities to make deliberative decisions in dynamic environments influenced by natural phenomena or other agents.
Visual Navigation of Mobile Platforms in Infrastructure-Free Environments
Focus: Visual navigation, autonomous mobile platforms, flexible manufacturing systems
Who it helped: Třinecké železárny a.s., HOPAX a.s., Military Repair Enterprise (VOP)
Leads: Libor Přeučil/Tomáš Pivoňka, Viktor Kozák
Location: B320 (Intelligent and Mobile Robotics Lab)
We develop principles and procedures for fully autonomous visual navigation of mobile platforms (e.g., manipulators, logistics robots, vehicles) in complex and dynamic environments. Applicable for both UGVs and UAVs, indoors or outdoors, and even under uncertainty. Alternative approaches use LIDAR-based methods. Our solution can be added as a cost-effective unit to any drive-by-wire mobile system – ideal for highly flexible production systems, automated warehouses, and surveillance tasks.
Planning and Scheduling for Robotics, Especially in Logistics
Focus: Robotic process optimization, logistics algorithms, warehouse management
Who it helped: GrenzeBach GmBH, SwissLog AG, Wienerberger A.G., ATG s.r.o, TFE France
Leads: Libor Přeučil/Miroslav Kulich, David Zahrádka
Location: B320 (Intelligent and Mobile Robotics Lab)
We develop advanced optimization algorithms that significantly improve process productivity. Our research and development focus mainly on NP-complete problems like Fetch and Carry, Anytime planning, and distribution network optimization, with applications in warehouse and fleet management.
Advanced Robotic Manipulation: Inspection Tasks, Pick & Place
Focus: Robotic manipulation, optical guidance, machine vision
Who it helped: Škoda Auto (2x), ATG s.r.o., LEGO (2x)
Leads: Libor Přeučil/Lukáš Bertl, Viktor Kozák
Location: B320 (Intelligent and Mobile Robotics Lab)
We address tasks involving inspection and/or grasping of parts whose 3D position is not precisely known or difficult to determine with standard methods. Solutions include target-oriented optical guidance of manipulators to randomly placed parts, with optimal sequencing of such operations. We also develop robust machine vision methods for industrial applications, even in challenging conditions, using monocular RGB(D) cameras.
Optimization of Factory Layouts
Focus: Production optimization, spatial layout, AI in industry
Who it helped: Škoda Auto, Continental, ZŤS VaV, DEL
Lead: Petr Kadera
Location: To be announced
Efficient factory operation depends heavily on spatial layout, which becomes more complex with growing process sophistication. AI methods help solve problems with many often conflicting criteria, such as fitting in as many production lines as possible, minimizing logistic paths, and avoiding co-locating incompatible technologies.
Control of Flexible Factories
Focus: Flexible manufacturing, production control, small-batch automation
Who it helped: Rockwell Automation, CertiCon, LEGO, ZŤS VaV, DEL
Lead: Petr Novák
Location: To be announced
Many industries are experiencing a growing number of product variants, which lowers the effectiveness of automation originally designed for mass production. Model-driven production control enables responsiveness to changing demands and efficient production of small batches.
Supporting Efficient Programming of Robotic Welding Cells
Focus: Robotic welding, automation of programming, CAD/CAM integration
Who it helped: ALAD CZ s.r.o., STP-Plast s.r.o.
Lead: Vladimír Smutný
Location: B-601, 6th Floor, Building B
One key obstacle to deploying robotic welding cells in low-volume production is the high cost of manual programming. Replacing expert human effort with automated programming processes eliminates this barrier, enabling small- or single-series production. In our approach, robot trajectories with 9–11 degrees of freedom are automatically generated in confined spaces defined by the product’s shape. Inputs include CAD geometry and CAM-generated weld positions and shapes.