Roboterassistierte ophthalmologische Chirurgie: Klinische Integration und Sicherheit durch multimodale Sensorik und Deep Learning
Abstract
Robotic systems enhance precision in microsurgery, especially in retinal procedures, by improving accuracy, dexterity, and minimizing invasiveness. This thesis proposes solutions to clinical integration and safety challenges, including a catadioptric vision system for real-time tool tracking, automated RCM calibration, image-guided patient alignment, and an environmental monitoring system for real-time disturbance compensation.
Fields of Study & Subjects
Retinal and Macular Surgery
Robot Manipulation and Learning
Retinal Imaging and Analysis
Publication details
- Journal / source
- mediaTUM (Technical University of Munich)
- Publication date
- 9 January 2026
- Language
- EN
- Document type
- Thesis