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About

Yiyang Meng is a leading researcher in the field of robotic-assisted orthopedic surgery, with a primary focus on multi-robot collaboration and active optical navigation systems. Their work addresses critical challenges in intraoperative precision, particularly the calibration of hand-eye, flange-tool, and robot-robot relationships in dual-robot systems—a foundational contribution that has garnered 26 citations. Meng’s most impactful research centers on overcoming visual occlusion in optical tracking systems (OTS), a persistent barrier to reliable real-time navigation during surgery. They have pioneered active navigation frameworks that dynamically optimize viewpoint planning, achieving occlusion-free tracking through novel angle and distance margin quantification. With over 60 total citations across their top papers, Meng’s work on intra-operative active navigation systems (cited 13 times) and multi-objective optimization schemes (15 citations) has directly enhanced the safety and efficacy of orthopedic procedures. Notably, their 2024 study on occlusion-free navigation represents a significant leap forward, enabling uninterrupted surgical tool tracking even in complex operative environments. Meng’s contributions are instrumental in advancing the next generation of autonomous, collaborative surgical robots.