Papers
16
Total Citations
265
H-Index
9
About
Yiang Lu is a leading researcher at the intersection of medical robotics, soft robotics, and intelligent sensing, with a focus on developing autonomous and safe systems for minimally invasive surgery and clinical diagnostics. His major contributions include pioneering robust 3D shape sensing algorithms for flexible endoscopic instruments using multi-core fiber Bragg grating (FBG) sensors, enabling precise position estimation despite signal noise and environmental perturbations—a critical advancement for teleoperated and autonomous surgical systems. During the COVID-19 pandemic, Lu developed the Tele-Operated Oropharyngeal Swab (TOOS) robot, which, combined with a soft hand, provided safe and effective sampling while reducing infection risk for medical staff. His work on automated laparoscope control, integrating learning-based depth perception and heuristic decision frameworks, addresses key challenges in surgical field-of-view management. With over 240 citations across his top papers, Lu’s research has been published in high-impact venues and continues to push boundaries in proprioceptive sensing, shape servoing, and autonomous navigation for continuum and soft robots. His achievements include multiple first-authored papers in IEEE journals and a notable focus on translating robotic innovations into practical clinical tools.
Research Focus
Key Achievements
Top Papers
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- 10An End-to-End Proprioception Framework for Soft Continuum Robot9 citations · 2022