About

Kevin Cleary is a pioneering researcher in medical robotics and image-guided interventional systems, whose work has fundamentally shaped how the field understands the intersection of robotics, surgery, and clinical practice. Over more than two decades, Cleary has made landmark contributions to the development of robotic platforms for minimally invasive procedures, most notably the AcuBot system — a compact six-degree-of-freedom robot designed for radiological percutaneous interventions including needle biopsy and radiofrequency ablation. His early surveys on the state of surgical robotics (2001, garnering nearly 400 combined citations) established a foundational reference point for the entire field, while his work on interventional robotic systems and MRI-compatible robotics has continually pushed the boundaries of what is technically achievable in the operating room. His highly cited 2017 paper on regulatory, ethical, and legal considerations for autonomous medical robots (682 citations) reflects a rare breadth, addressing not just engineering challenges but the critical governance frameworks surrounding emerging technologies. With contributions spanning haptic simulation, CyberKnife motion compensation, and brachytherapy automation, Cleary's research portfolio represents both technical innovation and thoughtful stewardship of a transformative medical discipline.

Research Focus

Key Achievements

27
H-Index
110
Papers
3,905
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy
682 citations · 2017
📈 Most Prolific Year: 2005 (10 Papers)
🤝 Key Collaborators: 274
🏛 Institutions: Children's National, Georgetown University, Georgetown University Medical Center, Yale-NUS College, Catholic University of America, Johns Hopkins University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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