Max Robotics — Global Service Robot Directory + US Certification

About

Maria Elizete Kunkel is a leading researcher in the intersection of medical imaging, biomechanics, and robotic-assisted surgery, with a primary focus on otolaryngology applications. Her work centers on improving the precision and safety of Functional Endoscopic Sinus Surgery (FESS), a minimally invasive procedure for chronic sinusitis. Kunkel’s major contributions include pioneering comparative studies on segmentation techniques for the nasal cavity and paranasal sinuses from CT images, where her 2007 paper (69 citations) established critical benchmarks between manual and semi-automatic methods for surgical planning and robot-assisted workspace definition. She has also advanced the field through ex vivo evaluations of force data and tissue elasticity for robotic FESS (15 citations), providing foundational data for haptic feedback systems. Her development of a 3D endoscopic approach for endonasal sinus surgery (13 citations) and sensor-based measurement of mechanical forces on endoscopes (8 citations) further demonstrates her commitment to translating engineering solutions into clinical practice. Kunkel’s work has been instrumental in bridging the gap between traditional surgical techniques and cutting-edge robotic assistance, making her a key figure in the evolution of safer, more effective sinus surgery.