Qianqian Yang
Papers
8
Total Citations
206
H-Index
7
About
Qianqian Yang is a prominent robotics and rehabilitation engineering researcher whose work sits at the intersection of human-robot interaction, control systems, and neurological motor recovery. Specializing in cable-driven and hybrid rehabilitation robots for upper-limb and hand restoration, Yang has made significant contributions to the design and intelligent control of robotic systems that assist stroke patients in regaining motor function. Among Yang's most impactful contributions is the development of a hybrid arm-hand rehabilitation robot (HAHRR) incorporating EMG-based admittance control, which garnered 61 citations and addressed a critical gap in integrated arm-and-hand training. Complementing this, Yang's performance-based hybrid control framework for cable-driven upper-limb rehabilitation robots (57 citations) introduced adaptive multi-mode training tailored to individual patient disability levels. Earlier foundational work pioneering sliding mode control combined with nonlinear disturbance observers (34 citations) established rigorous solutions for managing real-world uncertainties during robotic rehabilitation. Yang's research portfolio further demonstrates innovation in variable impedance control, gravity compensation strategies, and human intention detection — collectively advancing natural, safe physical human-robot interaction. With a cumulative citation count exceeding 200, Yang's work meaningfully shapes the evolving landscape of intelligent, patient-adaptive rehabilitation robotics, offering practical pathways to improved clinical outcomes for stroke survivors worldwide.
Research Focus
Key Achievements
Top Papers
- 1A Hybrid Arm-Hand Rehabilitation Robot With EMG-Based Admittance Controller61 citations · 2021
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