Jungmin Han

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About

Jungmin Han is a pioneering researcher in the field of surgical robotics, with a primary focus on image-guided interventions and human-robot collaboration for otologic surgery. His most influential work, "Image-guided robotic mastoidectomy using human-robot collaboration control" (2011, 12 citations), introduced a groundbreaking approach to mastoidectomy—a delicate procedure requiring precise bone removal near critical anatomical structures. Han developed a surgical navigation software that guides the robotic system, integrating a forbidden-region virtual fixture to ensure safety by preventing the robot from entering high-risk zones. Crucially, his implementation of a human-robot collaboration control mode allows surgeons to intervene directly during the procedure, blending robotic precision with human judgment. This work represents a significant step toward safer, more accurate robotic assistance in complex surgeries, addressing both autonomy and safety concerns. Han’s contributions have laid important groundwork for the development of intelligent surgical systems that prioritize patient safety while enhancing surgical capabilities.