Papers
11
Total Citations
169
H-Index
7
About
Yonggan Yan is a leading researcher in the field of robot-assisted vascular interventional surgery, with a focus on enhancing surgical safety, precision, and haptic feedback. His key research areas include force feedback systems, machine learning-based surgical perception, and flexible robotic manipulation for endovascular procedures. Yan's major contributions include the development of a novel vascular intervention surgical robot that integrates force feedback and flexible clamping, as well as deep-learning-based methods for force sensing and compliant guidewire control. His work has garnered significant attention, with his top-cited paper, "A Novel Vascular Intervention Surgical Robot Based on Force Feedback and Flexible Clamping," accumulating 40 citations, and his machine learning-based collaborative control study reaching 38 citations. Yan has also pioneered passive safety methods using grasping-force control and designed flexible tactile-sensing grippers with excessive force protection. His recent work on 5-DOF microcoil positioning and synthetic X-ray image generation addresses critical challenges in localization and data scarcity. With over 150 total citations across his publications, Yan's research is shaping the future of safer, more intuitive robotic systems for minimally invasive surgery.
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