I graduated in Mechanical Engineering from Dresden University of Technology (TUD) with majors in Robotics & Automation Systems, Non-linear Control, and Human–Machine Systems.
My first connection to CeTI came during an internship developing robot-control applications with the Mimetik data glove, followed by a student role supporting a CeTI robotics team with software engineering and HMI/HRI demonstrators, including supervising exhibition stands and explaining key concepts to diverse audiences.
I completed my student and diploma theses at the Telekom Chair of Communication Networks on the design and implementation of a robotics wok-tossing application.
After graduating, I joined the 6G-life project as a research associate at TUD, working closely with the ComNets robotics team on developments for, and public presentations of, the robotic kitchen CeTIBAR.
Since January 2026 I have been directly employed at CeTI² under the CeTIBAR project, focusing on intelligent robot control, agentic systems, and their applications to human–machine collaboration in domestic environments, while maintaining and extending the platform, supervising student research, and applying machine learning and AI methods. These activities align with my ongoing PhD research, which centers on robust, human-centered cyber-physical systems validated in real-world, multisensory kitchen scenarios.
Projekte/Kooperationen innerhalb von CeTI, an denen Sie beteiligt sind:
CeTIBAR
What are the main topics or questions that drive your research?
- How can intelligent robot control efficiently be integrated into kitchens?
- How can foundation models be used and improved to allow an easy skill transfer?
- Which role plays AI and Agentic Systems?
- What do safety features and systems look like which have to deal with dangerous tools and unstructured environments?
What inspired you to pursue your current field of work?
Robots, robotic systems and AI will play a key role in our aging, shrinking but ever more work and efficiency-oriented society. AI and agentic systems, as well as their training and deployment, ultimately reflect the values and structures upon which they are built. We can’t allow ourselves to just lean back on the past success of technologies we invented and miss the opportunity to shape the future with values and structures we care about. We can’t allow ourselves to let other people do all the work, find all the solutions and shape all the future systems just to find us dependent on something which values we don’t agree on in the end.
What excites you most about being part of CeTI?
The opportunity to combine work and personal interest in science, the opportunity to work with such a great team, the opportunity to create something meaningful which may helps other people, the opportunity to further learn and improve from a wide network of researchers in many domains.
Which challenge or question has recently sparked your curiosity?
- Which sensors and which types of data can improve Vision Language Action Models (VLA) to allow for better coordination among different robots and between robots and humans?
- How and with whom can a collaboration on research in the CeTIBAR be managed best?
How do you like to recharge or spend your time outside of work?
I do sports, meet family and friends, go into nature, dance, play the guitar, read, listen to or watch things which may take my curiosity, motivate me or just make me laugh.
