Kenko Fujii

Papers

Total Citations

138

H-Index

About

Kenko Fujii is a pioneering researcher at the intersection of human-computer interaction and robotic surgery, with a primary focus on enhancing laparoscopic procedures through intuitive control systems. His major contributions lie in developing gaze-based interfaces that allow surgeons to operate robotic arms and laparoscopes using natural eye movements, addressing critical ergonomic challenges in minimally invasive surgery. His most influential work, "Gaze gesture based human robot interaction for laparoscopic surgery" (2017), has garnered 98 citations for demonstrating how gaze gestures can provide a seamless communication channel between surgeon and robotic tools. Building on this, his earlier foundational paper "Gaze contingent cartesian control of a robotic arm for laparoscopic surgery" (2013, 40 citations) established the core methodology for reducing on-screen clutter while maintaining precise control. Fujii's research directly tackles the fundamental problem that laparoscopic surgery requires surgeons to bimanually control instruments, often leading to physical strain and reduced efficiency. By enabling hands-free, gaze-driven robotic assistance, his work promises to improve surgical outcomes, reduce fatigue, and expand access to advanced minimally invasive procedures.