Sonia Donaire
Papers
1
Total Citations
11
H-Index
1
About
Sonia Donaire is a leading researcher in the field of medical robotics, with a primary focus on the human–machine interfaces (HMIs) that govern robot-assisted endoscopic procedures. Her work addresses a critical gap in surgical technology: while intraluminal robots offer unprecedented precision, their effectiveness is often limited by the cognitive and physical demands placed on clinicians. Donaire’s most cited paper, “A Framework for the Evaluation of Human Machine Interfaces of Robot-Assisted Colonoscopy” (2023, 11 citations), introduces a systematic methodology for comparing HMI designs. By linking interface usability directly to operator stress and task difficulty, her framework provides a quantitative basis for designing more intuitive, less fatiguing control systems. This contribution is pivotal for the next generation of minimally invasive surgery, where seamless human–robot collaboration is essential. Beyond this work, Donaire’s research continues to shape how clinicians interact with robotic tools, aiming to reduce procedural errors and improve patient outcomes. Her impact, though early in her career, is already evident in the growing adoption of her evaluation metrics by labs developing next-generation colonoscopy robots.
Research Focus
Key Achievements
Top Papers
- 1