Danny Tat Ming Chan
Papers
11
Total Citations
431
H-Index
8
About
Danny Tat Ming Chan is a pioneering researcher at the forefront of MRI-guided surgical robotics and neurosurgical automation. His work centers on developing MR-safe robotic systems that enable precise, image-guided interventions in the challenging electromagnetic environment of MRI scanners — a problem requiring innovative engineering solutions in actuation, sensing, and control. Chan's most impactful contribution, a soft robotic manipulator for intraoperative MRI-guided transoral laser microsurgery (144 citations), demonstrates his ability to merge soft robotics with clinical imaging demands. Complementing this, his hydraulic driving systems for bilateral stereotactic neurosurgery and high-performance continuous hydraulic motors (65 and 51 citations respectively) established foundational approaches to MR-safe teleoperation that the field continues to build upon. A recurring theme across his body of work is enhancing surgical safety through semi-autonomous and task-automated robotic systems, particularly for stereotactic brain biopsy — a delicate procedure where precision is life-critical. His more recent developments in flexible neurosurgical endoscopes and safety-critical neuronavigation using control barrier functions signal a trajectory toward increasingly intelligent, autonomous surgical platforms. With over 400 cumulative citations and contributions spanning soft robotics, hydraulic actuation, and neurosurgical autonomy, Chan's research is meaningfully shaping the future of minimally invasive, image-guided surgery.
Research Focus
Key Achievements
Top Papers
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- 7A Semi-Autonomous Stereotactic Brain Biopsy Robot With Enhanced Safety16 citations · 2020
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