Wanqing Wu
Papers
2
Total Citations
18
H-Index
2
About
Wanqing Wu is a leading researcher in medical robotics and surgical automation, with a focus on developing intelligent systems for minimally invasive interventions. Her work bridges soft robotics and computer vision to address critical challenges in pulmonary and ophthalmic surgery. In her highly cited 2023 study, Wu introduced a multi-segment soft continuum robot for pulmonary intervention, featuring a 3.5 mm outer diameter and full-dimensional bending capability. This design overcomes the maneuverability limitations of traditional bronchoscopy in complex bronchi, enabling safer and more precise lung biopsies. The paper has garnered 12 citations, underscoring its impact on soft robotics for medical applications. Wu also advanced surgical recognition systems with her "Variation-learning high-resolution network" for capsulorhexis in cataract surgery, achieving 6 citations. This work demonstrates her expertise in deep learning for real-time surgical scene understanding. By combining nonlinear error compensation with adaptive learning algorithms, Wu is pioneering more reliable and autonomous robotic systems for high-stakes clinical environments. Her contributions are shaping the next generation of flexible surgical tools and computer-assisted interventions.
Research Focus
Key Achievements
Top Papers
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