Papers
19
Total Citations
100
H-Index
6
About
Yina Wang is a robotics researcher whose work sits at the intersection of assistive technology, rehabilitation engineering, and intelligent control systems. Her research focuses primarily on developing and refining robotic systems designed to support individuals with physical disabilities and the elderly, spanning walking rehabilitation robots, patient care robots, intelligent wheelchairs, and excretion care support machines. Wang has made notable contributions to motion control, including adaptive sliding mode control and friction modeling for omnidirectional mobile robots, as well as robust path-tracking algorithms that account for real-world disturbances and parameter uncertainties. Her work on directional-intent recognition — integrating electro-oculogram signals, eye movement data, and sensor fusion — has advanced human-robot interaction for users with limited mobility. More recently, she has extended her expertise into computer vision, developing improved YOLOv5-based object recognition for patient care robots. With a publication record spanning over a decade and citations reaching into the dozens across key works — her top paper alone garnering 14 citations — Wang's research has meaningfully shaped the development of socially impactful service robots that enhance quality of life and reduce the burden on caregivers.
Research Focus
Key Achievements
Top Papers
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- 6Motion control for an intelligent walking support machine6 citations · 2012
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