Jianye Niu
Papers
35
Total Citations
407
H-Index
10
About
Jianye Niu is a prominent robotics researcher whose work spans medical robotics, rehabilitation engineering, and advanced mechanism design. His research has made substantial contributions to two interconnected domains: surgical robotics for vascular intervention and assistive robots for post-stroke rehabilitation. In the realm of surgical robotics, Niu has pioneered force-feedback vascular interventional surgical systems and machine learning-driven surgical state perception, with these studies accumulating nearly 80 citations combined, reflecting their significance to minimally invasive surgery. His master-slave robotic systems address critical clinical challenges, including guidewire clamping regulation and surgeon safety during X-ray-guided procedures. Equally impactful is his rehabilitation robotics portfolio, encompassing devices targeting the hand, wrist, upper limb, and lower limb. His designs consistently prioritize human-robot compatibility, generalized joint modeling, and multi-stage adaptability for stroke patients at varying recovery stages. Notable achievements include a generalized shoulder joint rehabilitation robot and a multistage hemiplegic lower-limb system addressing bilateral training needs. Niu's foundational work on serial-parallel hybrid mechanisms, exemplified by his wheel-legged rescue robot research (47 citations), underpins much of his applied robotics design philosophy. Collectively, his publications have garnered over 240 citations, establishing him as an influential voice in intelligent robotic systems for both emergency and medical applications.
Research Focus
Key Achievements
Top Papers
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