About

Qing Miao is a leading researcher in the field of rehabilitation robotics, with a primary focus on robot-assisted therapy for upper-limb and ankle rehabilitation. Her work is distinguished by a dual emphasis on innovative mechanical design and intelligent control strategies. Miao has made major contributions through the development of subject-specific, interactive control systems that enhance human-robot engagement, such as performance-based iterative learning control and compliance control for bilateral robotic training. She also pioneered the design of novel devices, including the compliant ankle rehabilitation robot (CARR) and the bilateral upper-limb rehabilitation device (BULReD), which prioritize portability, safety, and reconfigurability for task-oriented therapy. Her research is highly cited, with her most influential papers—on workspace optimization, control techniques, and design reviews—garnering over 300 total citations. Notable achievements include her comprehensive reviews that have shaped future research directions in both ankle and upper-limb rehabilitation, and her work on trajectory generation and force production in dynamic tasks, which addresses critical gaps in personalized therapy. Miao’s contributions are pivotal in advancing adaptive, patient-centered robotic rehabilitation systems.

Research Focus

Key Achievements

9
H-Index
11
Papers
311
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Reconfigurable workspace and torque capacity of a compliant ankle rehabilitation robot (CARR)
63 citations · 2017
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: University of Auckland, Southern University of Science and Technology, Wuhan University of Technology, Wuhan Polytechnic University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago