Yongfeng Cao
Papers
17
Total Citations
181
H-Index
8
About
Yongfeng Cao is a leading researcher in continuum robotics and medical robotics, with a focus on developing flexible, snake-like robots for minimally invasive surgeries, particularly in the challenging anatomy of the maxillary sinus and endoscopic sinus surgery. His major contributions include pioneering the integration of draw tower grating (DTG) sensors into multisection continuum robots for real-time spatial shape sensing and closed-loop trajectory tracking, achieving precise control in constrained environments. Cao has also advanced control strategies, such as error-driven active disturbance rejection control (ADRC) with input mapping methods, to handle parametric uncertainties and disturbances inherent in deformable robotic systems. His work on learning-based multimodal information fusion for behavior recognition of vascular interventionists highlights his broader impact on surgical skill assessment. With over 150 citations across his top papers, including highly cited works like "Improved Trajectory Tracking Control for a Continuum Robot Using Error-Driven ADRC" (28 citations) and "Continuum Robots for Endoscopic Sinus Surgery" (22 citations), Cao’s research bridges robotics, control theory, and clinical application, offering transformative solutions for safer, more effective surgical interventions.
Research Focus
Key Achievements
Top Papers
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- 6ADRC-Based Trajectory Tracking Control for a Planar Continuum Robot13 citations · 2023
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