Papers
15
Total Citations
303
H-Index
8
About
Qin Fang is a leading researcher in soft and continuum robotics, with a focus on medical applications. Their work spans design, actuation, modeling, and control of continuum robots, particularly for minimally invasive surgery and diagnostics. Fang’s major contributions include pioneering an AI co-pilot bronchoscope robot (76 citations) that addresses global disparities in medical access, and developing learning-based force estimation and compliant control for small-scale continuum robots (24 citations), enhancing safety in procedures like radiofrequency ablation. Their bioinspired designs, such as a *Drosophila* larvae-inspired soft crawling robot (19 citations) and a variable-length continuum robot for endoscopic surgery (18 citations), demonstrate multimodal locomotion and stiffness control. Fang’s impact is evident in over 280 total citations, with their 2022 survey on continuum robots (94 citations) serving as a key reference in the field. Notable achievements include a soft hybrid actuated bronchoscope robot for deep lung examination (13 citations) and a piezoelectric planar parallel microrobot (6 citations) for high-precision micromanipulation. Fang’s work bridges robotics and medicine, advancing safe, accessible, and precise robotic systems for healthcare.
Research Focus
Key Achievements
Top Papers
- 1A Survey on Design, Actuation, Modeling, and Control of Continuum Robot94 citations · 2022
- 2AI co-pilot bronchoscope robot76 citations · 2024
- 3
- 4
- 5
- 6Soft Lightweight Small-Scale Parallel Robot With High-Precision Positioning14 citations · 2023
- 7
- 8Analysis and control for a bioinspired multi-legged soft robot12 citations · 2021
- 9Flexible Biopsy Robot with Force Sensing for Deep Lung Examination8 citations · 2023
- 10