Mingyang Qin

Beijing Institute of Technology, Ministry of Industry and Information Technology

Papers

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About

Mingyang Qin is a leading researcher in the field of robotic-assisted vascular interventional surgery, with a primary focus on developing intelligent navigation and haptic feedback systems for minimally invasive procedures. His most significant contributions include the design and evaluation of a novel guidewire navigation robot (2016, 27 citations), which aims to release surgeons from radiation exposure and heavy protective garments while enhancing precision and motion stability. Qin has also advanced the critical area of haptic feedback in master-slave robotic catheter systems, notably through his work on a high precise haptic device (2016, 14 citations) that improves the accuracy of force feedback—essential for realistic and effective surgical teleoperation. Additionally, his research on a proximal push force-based force feedback algorithm (2015, 9 citations) addresses the challenge of real-time, accurate force transmission during vascular interventions, strengthening the surgeon’s sense of reality and operational efficiency. Collectively, Qin’s work contributes to safer, more precise, and more comfortable robotic surgery, with direct implications for improving patient outcomes and reducing occupational hazards for interventional radiologists.