Papers
6
Total Citations
100
H-Index
5
About
Lixu Gu is a pioneering researcher at the forefront of interventional robotics, with a focused expertise in robot-assisted vascular and cerebrovascular surgery. His major contributions center on the development of novel remote-controlled robotic systems for minimally invasive procedures, particularly in cerebrovascular intervention—a field where precision and safety are paramount. Gu’s work, including a first in vivo proof-of-concept trial, has laid critical groundwork for teleoperated surgical systems that enhance dexterity and reduce radiation exposure for clinicians. His most-cited paper (41 citations) introduces a master-slave control strategy for cerebrovascular robots, while subsequent studies (33 citations) refine these principles for broader vascular applications. Beyond vascular robotics, Gu has advanced respiratory-motion compensation using LSTM networks for robotic puncture systems (10 citations) and explored magnetically actuated catheters with agile control. His research also extends to surgical instrument segmentation via deep learning, demonstrating versatility in computer vision for medical robotics. With a growing citation impact and a portfolio spanning design, control, and clinical translation, Gu is shaping the next generation of intelligent, robot-assisted interventions.
Research Focus
Key Achievements
Top Papers
- 1A novel remote-controlled robotic system for cerebrovascular intervention41 citations · 2018
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