Dr. Sabrina Schmedding
Senior Expert for Cognitive Industrial Data Analytics
My journey at Bosch began as a doctoral student. As part of my doctoral research, I explored how the learning process for self-learning robots in contact-intensive manipulation tasks in a production environment could be accelerated. After that, I continued my work as a research engineer at Bosch Research, where I investigated pragmatic ways to apply the latest machine learning methods to production data from and for Bosch—both for self-learning robots and in other areas. Since then, I have led two research initiatives aimed at developing AI tools for production systems and expanding them to a wider variety of problems. As a Cluster Owner for 'AI in Production,' I was responsible both content-wise and strategically for several activities that explored a broad range of AI approaches for production. Currently, I am working with colleagues from Bosch Connected Industries on Bosch Manufacturing Co-Intelligence to optimally and demonstrably adapt our agents to customer requirements.
Please tell us what fascinates you most about research.
The variety of open questions to think about, sharpening my understanding of technology while pushing it to the future, exchanging ideas with others, being able to go off the beaten path.
What makes research done at Bosch so special?
At Bosch, I am in close dialog with colleagues from various backgrounds as well as practitioners in the production plants and get first-hand feedback about the potential impact or feasibility of my work for their day-to-day business and challenges.
What research topics are you currently working on at Bosch?
I am currently working on AI agents for manufacturing. The focus is on continuously optimizing these agents and adapting them to the requirements of the real production world — preferably automatically and demonstrably effectively.
What are the biggest scientific challenges in your field of research?
The market for AI agents is still very young and extremely dynamic. To enable rapid product improvements, well-thought-out and highly automated processes need to be established in the background. A major challenge, therefore, is the question of to what extent optimizing or even creating a new agent can be automated — within clear guardrails and minimum requirements, and in conjunction with existing production hardware and its IT landscape.
How do the results of your research become part of solutions “Invented for life?”
Every improvement to Bosch production systems directly contributes to the quality, cost and reliability of Bosch products that can be found in almost all areas of life — at home, in e-bikes, in smartphones, and in so many other places.
Curriculum vitae
Since 2025
Pushing the Bosch Manufacturing Co-Intelligence agents
2024 to 2025
Cluster Owner “AI in Production”
Since 2023
Senior Expert for Cognitive Industrial Data Analytics
2022 to 2024
Activity Lead
Since 2019
Research engineer
2016 to 2021
Ph.D. student
Selected publications
R. Wang et al. (2025)
- Ruyu Wang, Xuefeng Hou, Sabrina Schmedding, Marco F Huber
- IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
R. Wang et al. (2022)
- Ruyu Wang, Sabrina Hoppe, Eduardo Monari, Marco F. Huber
- British Machine Vision Conference (BMVC)
Rozo et al (2024)
- Leonel Rozo, Andras G. Kupcsik, Philipp Schillinger, Meng Guo, Robert Krug, Niels van Duijkeren, Markus Spies, Patrick Kesper, Sabrina Hoppe, Hanna Ziesche, Mathias Bürger, Kai O. Arras
- Robotics and Computer-Integrated Manufacturing
Hoppe et al. (2023)
- Sabrina Hoppe, Markus Giffthaler, Robert Krug, Marc Toussaint
- The International Journal of Robotics Research
Get in touch with me
Dr. Sabrina Schmedding
Senior Expert for Cognitive Industrial Data Analytics


