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About

Katharina Hagmann is a leading researcher in the field of medical robotics, with a focus on enhancing surgical precision and autonomy through intelligent human-robot interaction. Her work primarily spans haptic telemanipulation, shared control, and digital twin technologies for minimally invasive surgery. Hagmann’s most impactful contribution is her development of a digital twin framework for contextual assistance during robotic surgery training, which has garnered 43 citations and addresses key ergonomic challenges in teleoperated systems. She has also pioneered seamless transitions between shared control and supervised autonomy for assistive robots, enabling safer and more intuitive operation in both surgical and household environments. Her model-augmented haptic telemanipulation concept, cited 20 times, offers solutions for high-latency applications like space telerobotics. Notably, Hagmann led the development of the CoFlex robotic system for solo surgery in flexible ureteroscopy, a novel platform that combines gravity compensation and virtual fixtures to improve kidney stone removal procedures. With over 90 total citations and multiple clinical validations, her work is shaping the next generation of intelligent, user-centered robotic assistants.