Research Focus
- Data lifecycle
IoT and data analytics in data mining, data warehousing, big data. Edge computing, privacy and data sovereignty. - Manufacturing processes and technologies
Additive manufacturing, process and machine diagnostics, process and manufacturing optimization. - Digital twin and digital shadow
Matching physical systems and simulations, virtual commissioning of manufacturing and processes, dynamic machine models. Predictive maintenance. - Smart factory and distributed manufacturing
Automated production planning, material flow planning, modular and flexible manufacturing, logistics operations.
Manufacturing as a service. - Advanced energy systems
Optimization of production processes with the interconnection of available energy sources. Power distribution systems with the integration of different green energy sources.
- Flexible production systems
Additive and subtractive technologies, robotics, mobile manipulators, UGV, UAV. - Human-machine-robot collaboration
AR/VR technology, precision localization and navigation in industrial environments. Remote inspection, visual telepresence. - Machines and mechatronic systems
Algorithms and sensors for diagnostics and predictive maintenance, vibrodiagnostics, acoustic holography, acoustic emission. Advanced automation and artificial intelligence applications. - Advanced actuators
Advanced actuators (rotary and linear) for industry, actuators for electromobility, reliable “fail-operational” actuators, advanced actuator control, diagnostics, monitoring.
Sensor networks and IoT, edge-computing, HPC.
- Industry 4.0 and digitalisation
Research and development of
solutions for a digitised and
human-centred and reconfigurable production. - Robotics applications
Research in the area of human-robot-collaboration, Human-Robot Interaction and sensitive robotics. - Artificial Intelligence
Research and development in the area of multimodal dialogue systems, transfer learning, planning and neural symbolic imitation learning. - Remote collaboration
Research and development of
solutions for remote collaboration between distant production sites.
Industrial Testbed Core
Goals
RICAIP focuses on research areas related to Industry 4.0, in particular robotics and artificial intelligence (AI) for advanced industrial production. The aim of the distributed research and experimental workplace – Industrial Testbed Core – is to develop and test innovative solutions for advanced industrial production, continually optimizing to the changing environment. RICAIP EU Testbed Core aims to become a major contributor to the international standardization efforts and cybersecurity of the Industry 4.0 initiative, facilitating technology and knowledge transfer from academia to industry through the deployment and development of technical solutions tested and validated in the relevant industrial environment. The backbone of this infrastructure consists of the Industrial Testbed for Industry 4.0 at CIIRC CTU in Prague, the testbed at the CEITEC BUT institute in Brno, and the joint testbed of DFKI and ZeMA in Saarbrücken.