Papers
35
Total Citations
638
H-Index
12
About
Franziska Mathis-Ullrich is a pioneering researcher at the intersection of medical robotics, surgical intelligence, and autonomous systems. Her work spans two compelling domains: miniaturized magnetic microrobotics for ophthalmic applications and AI-driven automation in minimally invasive surgery. Early in her career, she contributed to groundbreaking work on electroformed tubular magnetic microrobots designed for targeted drug delivery and sutureless ophthalmic procedures, research that has accumulated over 138 citations and demonstrated real translational promise for vision-saving therapies. Her subsequent focus shifted toward intelligent surgical assistance, where she has made substantial contributions to reinforcement learning, imitation learning, and surgical workflow analysis. Notable achievements include developing the first self-learning autonomous camera-guiding robot for laparoscopic surgery, advancing sim-to-real transfer techniques for deformable object manipulation, and introducing Movement Primitive Diffusion for gentle robotic tissue handling. Her open-source LapGym framework further reflects her commitment to reproducible, community-driven progress. Mathis-Ullrich's influence is also felt through benchmark-driven collaborative research, such as the widely adopted HeiChole surgical skill analysis benchmark with 96 citations. Collectively, her portfolio signals a researcher deeply committed to making surgery safer, smarter, and more accessible through cutting-edge robotics and machine learning.
Research Focus
Key Achievements
Top Papers
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- 4A learning robot for cognitive camera control in minimally invasive surgery55 citations · 2021
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