Papers
6
Total Citations
38
H-Index
4
About
Baoshan Niu is a rising force in medical robotics, whose work is redefining the safety and precision of robotic-assisted diagnosis and rehabilitation. His primary research focuses on robotic ultrasound scanning and rehabilitation robotics, with a particular emphasis on human-robot interaction and patient safety. Niu’s most impactful contribution is a novel path optimization and dynamic contact force regulation method for robotic breast ultrasound scanning (RBUS), which directly addresses critical safety concerns in early cancer screening—a paper that has already garnered 11 citations since 2025. He has also made significant strides in stroke rehabilitation, designing the End-Effector Finger Rehabilitation Robot (EFRR), which uniquely targets active adduction/abduction movements often neglected in existing devices, and developing a multi-sensor assessment method to improve rehabilitation objectivity. His work on high-transparency robotic systems for quantifying arm impedance during ultrasound scanning further showcases his commitment to capturing and replicating expert sonographer skills. With a growing citation footprint across his portfolio, Niu is establishing himself as a key innovator in creating safer, more intelligent robotic systems for clinical and home use.
Research Focus
Key Achievements
Top Papers
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