Nadia Schillreff
Papers
1
Total Citations
5
H-Index
1
About
Nadia Schillreff is a robotics researcher whose work centers on enhancing precision in robot-assisted surgery, with a particular focus on improving the absolute accuracy of surgical manipulators. Her most cited paper, "Towards High Accuracy Robot-Assisted Surgery" (2017, 5 citations), introduces a novel error modeling approach that leverages polynomial regression to correct tool pose errors. Schillreff’s key insight—that a robot’s repeatability far exceeds its absolute accuracy—drives her methodology, enabling more reliable and precise instrument positioning during procedures. This contribution addresses a critical bottleneck in surgical robotics, where even millimeter-level inaccuracies can impact patient outcomes. While her citation count reflects a niche but growing field, her work lays essential groundwork for safer, more effective robotic interventions. Schillreff’s research is particularly relevant for students and engineers exploring calibration techniques, kinematic modeling, and the translation of industrial robotics principles into high-stakes medical applications.
Research Focus
Key Achievements
Top Papers
- 1Towards High Accuracy Robot-Assisted Surgery5 citations · 2017