Papers
53
Total Citations
1,857
H-Index
23
About
Liao Wu is a distinguished robotics and biomedical engineering researcher whose work bridges precision robotic systems, surgical robotics, and advanced sensing technologies. His foundational contributions to robot kinematic calibration — particularly his development of minimal Product of Exponentials (POE)-based models — have reshaped how researchers approach robot accuracy, earning over 280 citations across two landmark papers. Wu has made equally significant strides in continuum robotics, conducting influential kinematic analyses of surgical tendon-driven and concentric tube manipulators (180 citations) and pioneering dexterity studies that combine multiple continuum mechanisms for minimally invasive surgery. His work on multi-robot calibration, including solving the complex AXB=YCZ problem for comanipulation systems, addresses critical challenges in collaborative surgical robotics. More recently, Wu expanded into flexible sensing, with his 2023 review of capacitive sensor technologies — spanning wearable health monitors to intelligent surgical devices — rapidly accumulating 169 citations. His development of a compact continuum robotic system for nasopharyngeal biopsy and contributions to ultrasound-guided robotic procedures further demonstrate his commitment to translating engineering innovation into tangible clinical impact. Wu's diverse yet cohesive body of work makes him a leading voice in next-generation surgical and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3A minimal kinematic model for serial robot calibration using POE formula166 citations · 2013
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- 10Ultrasound guidance in minimally invasive robotic procedures69 citations · 2019