Papers
45
Total Citations
1,230
H-Index
21
About
Zion Tsz Ho Tse is a prominent biomedical robotics researcher whose work spans soft robotics, MRI-compatible robotic systems, and robot-assisted minimally invasive surgery. He has made significant contributions to the intersection of intelligent robotics and medical applications, pioneering research that bridges advanced engineering with clinical practice. Tse's most influential work includes a highly cited review on deep reinforcement learning for soft and flexible robots (124 citations), which helped define the emerging field of intelligent soft robotics. His foundational 2008 review on MRI-compatible robotics (101 citations) established a critical framework for integrating robotic systems with real-time imaging guidance, a cornerstone of modern interventional procedures. He further advanced surgical robotics through research on transoral flexible robotic surgery, haptic sensing, and natural orifice transluminal endoscopic surgery, collectively accumulating hundreds of citations. Tse's practical contributions include developing a pneumatically actuated MRI-guided robotic system for prostate focal laser ablation and an origami-inspired soft pneumatic actuator with variable stiffness. More recently, his work on robotics and AI during the COVID-19 pandemic (70 citations) demonstrated his commitment to addressing urgent real-world challenges. Across disciplines, Tse's research exemplifies a career dedicated to making robotic-assisted medicine safer, smarter, and more accessible.
Research Focus
Key Achievements
Top Papers
- 1
- 2The case for MR‐compatible robotics: a review of the state of the art101 citations · 2008
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- 7Robotic System for MRI-Guided Focal Laser Ablation in the Prostate58 citations · 2016
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- 9ROBOTICS IN NATURAL ORIFICE TRANSLUMINAL ENDOSCOPIC SURGERY46 citations · 2013
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