Key areas of research and development
- Modelling and Simulation
- Methods and tools for model-based control and regulation design
- Virtual commissioning
- Artificial intelligence, in particular machine learning in automation and robotics
- Human-technology interaction
Team
- Nico Beyer, B.Eng.
- B.Eng. Moritz Benedikt Brüggemann
- M.Eng. Joel Focking
- M.Sc. Maximilian Gerwien
- M.Eng. Christian Rickert
- M.Sc. Robert Thiel
Prof. Dr.-Ing. Jens Jäkel
Chair of Systems Theory and Mechatronics
Institute
MSR | Institute of Measurement, Control and Regulation Technology
Research Profiles
Process Automation & IIoT
Robotics, Control & AI
Telephone: +49 (0)341 3076 1125
Email: jens(dot)jaekel(at)htwk-leipzig.de
Current projects
KITurbo
AI-driven technologies for generating semi-supervised and runtime-accelerated digital twins, and for classifying operational and fault states throughout the life cycle of industrial compressor and turbine systems
The project addresses key challenges facing the process industry, such as increasing complexity, a shortage of skilled workers and the loss of knowledge, by further developing AviComp’s existing Digital Twin (DT) framework. The focus is on the use of AI-supported methods to assist with monitoring, optimisation, fault diagnosis and more efficient modelling of compressor and turbine systems. To this end, the FTZ sub-project is developing hybrid modelling approaches for the semi-automated generation of the DT, accelerated simulation and AI-based classification of fault conditions.
Funding: Central Innovation Programme for SMEs (ZIM)
Project partner: AviCompControls GmbH
Project duration: 06/2025–01/2028
SoKoRoMed
Soft and continuum robotics for medical applications
The project aims to establish defined process chains for the manufacture of patient- or application-specific soft end-effectors. To this end, new materials, suitable calculation methods and a tailored 3D printing technique are being developed. The soft and continuum robots (SKR) will be designed as part of the project and deployed in combination with conventional medical and robotic technology within a comprehensive clinical demonstrator for specific interventions. The definition of standards for system and functional descriptions is intended to facilitate clinical translation.
Funding: Sächsische Aufbaubank – Förderbank (SAB), co-funded by the European Union
Project partner: Innovation Centre for Computer-Assisted Surgery (ICCAS) at the University of Leipzig
Project duration: 09/2024 – 10/2026
