Max Robotics — Global Service Robot Directory + US Certification

About

Eigil Samset is a pioneering researcher at the intersection of medical imaging, surgical robotics, and augmented reality. His work focuses on enhancing minimally invasive surgery through intelligent systems that improve precision, safety, and workflow. Samset’s most influential contribution is his 2007 paper on dynamic MRI scan plane control for passive tracking of instruments and devices, which has garnered 64 citations and laid the groundwork for real-time image-guided interventions. He also authored a highly cited 2008 review on augmented reality in surgical procedures (40 citations), which helped define the field’s potential for overlaying critical data onto the surgeon’s view. Samset has advanced robotic-assisted surgery by improving the Cartesian accuracy of telesurgical robots like AESOP, developing collision detection and untangling algorithms for multi-arm systems, and designing collaborative co-design frameworks for emerging surgical technologies. His work on integrating image guidance into the cardiac operating room, including endoclamp balloon visualization, demonstrates his commitment to translating research into clinical practice. With a career spanning from early head-tracking systems for robotic scope holders to sophisticated intraoperative navigation, Samset’s research has consistently pushed the boundaries of what is possible in computer-assisted surgery.