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About

Yanping Lin is a pioneering researcher at the intersection of surgical robotics, medical imaging, and computer-assisted surgery. His work spans several interconnected domains, including ultrasound-guided robotic intervention, craniofacial and spinal surgical robotics, and force-feedback control systems — collectively aimed at elevating the precision, safety, and repeatability of minimally invasive procedures. Lin's most impactful contributions center on ultrasound-guided needle insertion robotics, with his 2021 flagship paper accumulating 74 citations, establishing him as a leading voice in automated percutaneous puncture systems. Complementing this, his development of automatic needle detection algorithms in 2D ultrasound imagery demonstrates a sophisticated integration of computer vision with real-time robotic guidance. His portfolio extends into craniofacial surgery, where he introduced a 7-DOF navigation-guided robotic arm for orthognathic and osteotomy procedures, and into spinal surgery, developing teleoperated drilling systems with force feedback to reduce reliance on surgeon intuition. Particularly notable is Lin's emphasis on clinical translability — comparing robotic accuracy against conventional surgical guides and incorporating collaborative control methods that preserve surgeon intervention capabilities. With over 220 cumulative citations and growing work in respiratory motion prediction for puncture robotics, Lin's research is meaningfully reshaping the landscape of precision surgical automation.