Papers
14
Total Citations
186
H-Index
8
About
Yuanyuan Yang is a prominent researcher at the intersection of medical robotics, surgical automation, and human-robot interaction. Their work spans several interconnected domains, including robot-assisted surgery, autonomous path planning, physical human-robot collaboration, and intelligent navigation systems. Yang has made particularly notable contributions to surgical robotics, developing automated methods for pedicle screw placement using preoperative CT imaging—a breakthrough that streamlines traditionally complex spinal procedures—as well as safety control frameworks for cataract surgery and endoscopic nasal surgery that integrate virtual fixtures and adaptive field-of-view management. Their research on variable admittance control has meaningfully advanced human-robot collaboration in orthopedic settings, enabling more intuitive and responsive surgical assistance. Beyond the operating room, Yang has explored socially aware mobile robot navigation through human trajectory prediction, reflecting a broader commitment to safe human-robot coexistence. Their most-cited work (33 citations) on spinal screw path planning exemplifies their drive to reduce surgical burden through intelligent automation. With contributions spanning MRI-compatible needle puncture robots, pelvic fracture reduction systems, and minimally invasive oncological procedures, Yang's cumulative body of work—exceeding 170 citations across their top publications—demonstrates sustained, multidisciplinary impact on the future of intelligent surgical systems.
Research Focus
Key Achievements
Top Papers
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- 2Automatic Surgical Field of View Control in Robot-Assisted Nasal Surgery25 citations · 2020
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- 9Design and control of a MRI-compatible pneumatic needle puncture robot8 citations · 2019
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