Mona Seyfried
Papers
1
Total Citations
8
H-Index
1
About
Mona Seyfried is a researcher at the forefront of medical robotics and optical sensing, with a particular focus on advancing minimally invasive surgery. Her work centers on the development of innovative shape-sensing technologies, specifically using Fiber Bragg gratings (FBGs) integrated with ORMOCER® materials to create flexible, 3D shape sensors. Her most-cited paper, "Using ORMOCER®s as casting material for a 3D shape sensor based on Fiber Bragg gratings" (2014, 8 citations), addresses a critical challenge in robot-assisted surgery: accurately retrieving the geometry and tip position of flexible instruments. This contribution is pivotal for enabling safer, more dexterous surgical interventions, as it promises to enhance the precision and control of flexible tools. While her citation count reflects a focused, early-career impact, her work is highly regarded in the niche field of surgical sensing, laying groundwork for future innovations in real-time instrument tracking. Seyfried's research bridges materials science and biomedical engineering, offering practical solutions that could transform how surgeons interact with flexible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1