Papers
36
Total Citations
964
H-Index
18
About
Anzhu Gao is a leading researcher at the intersection of medical robotics, continuum robot design, and surgical automation, with a body of work that has significantly advanced minimally invasive and endoluminal interventional technologies. His research spans soft robotics, robotic catheter systems, MRI-guided intervention, and the application of robotics to combating infectious diseases — a topic his widely cited 2021 review (114 citations) brought into sharp focus during the COVID-19 pandemic. Gao's most impactful contributions center on continuum robots for navigating complex anatomical pathways. His work on laser-profiled continuum robots with integrated tension sensing (92 citations) and contact estimation frameworks (45 citations) has helped address fundamental safety challenges in endoluminal surgery. Complementing this, his modeling and optimization of contact-aided catheters (52 citations) has improved ablation procedures for atrial fibrillation. Beyond hardware, Gao has pioneered intelligent surgical systems, including cross-domain transfer learning for microsurgical skill assessment (52 citations) and augmented-reality-assisted teleoperation (50 citations). With research spanning over a decade — from early robotic catheter development (2011) to contemporary MRI-guided robotics — his cumulative contributions reflect both technical depth and clinical relevance, making him an essential reference for students and researchers in surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1Progress in robotics for combating infectious diseases114 citations · 2021
- 2Soft bimorph actuator with real-time multiplex motion perception113 citations · 2020
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- 4Modeling and Task-Oriented Optimization of Contact-Aided Continuum Robots52 citations · 2020
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- 9MRI-guided robot intervention—current state-of-the-art and new challenges38 citations · 2023
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