This research was partially funded by the German Federal Ministry of Research, Technology and Space (BMFTR).

The researchers are developing an adaptive training system for robot-assisted eye surgery. From preparation to execution, it is designed to support prospective doctors in training for all phases of complex procedures. The system features advanced image processing and simulates the environment in three dimensions. An intelligent knowledge database describes procedures, roles and instruments semantically. The technology processes sensor and robot data in real time to detect errors early on and generate targeted instructions. A specially trained language model answers questions about the procedure, which increases learning progress. For a particularly individualized training experience, it also adapts content to different levels of experience.

The technology developed not only improves the quality of eye surgery training, but also the safety of procedures. At the same time, it pushes the boundaries of robotic use in medicine and research. In the long term, the platform can be extended to other areas of surgery.