Xiaoqing Yuan
Papers
12
Total Citations
144
H-Index
7
About
Xiaoqing Yuan is a leading researcher in rehabilitation robotics and human-robot interaction, with a focus on developing intelligent, adaptive systems for upper limb exoskeletons. Her major contributions lie in designing bionic control methods that interpret patient motion intention through multi-modal sensory data, enabling more natural and effective rehabilitation training. Yuan’s work on motion intensity modeling and trajectory control has directly addressed the challenge of tailoring exoskeleton assistance to individual patient needs, improving both training outcomes and human-robot synergy. Her highly cited papers, including “Motion intensity modeling and trajectory control of upper limb rehabilitation exoskeleton robot” (34 citations) and “Bionic control of exoskeleton robot based on motion intention” (26 citations), have shaped modern approaches to rehabilitation robotics. Beyond exoskeletons, she has explored robot-assisted needle insertion for surgical precision and the development of MRI-compatible actuators, demonstrating versatility across medical robotics. Her recent comprehensive review on control methods for upper limb exoskeletons (2024) consolidates the field’s progress, serving as a key resource for researchers. With over 130 citations across her top works, Yuan’s research continues to drive safer, more responsive robotic systems for clinical and assistive applications.
Research Focus
Key Achievements
Top Papers
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- 4Experimental analysis of robot-assisted needle insertion into porcine liver21 citations · 2015
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- 8Compatibility of US motors for development of MRI-guided surgical robot7 citations · 2013
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