Junxia Zhang
Papers
14
Total Citations
257
H-Index
8
About
Dr. Junxia Zhang is a leading researcher in rehabilitation robotics and human-robot interaction, with a primary focus on lower limb exoskeleton systems. Her work centers on solving critical challenges in assistive technology, particularly improving motion intention recognition and control strategies for stroke patients and individuals with movement disorders. Dr. Zhang has pioneered the use of surface electromyography (sEMG) fusion features combined with dynamic adaptive neural networks to enhance the accuracy of exoskeleton control, a breakthrough that addresses a long-standing limitation in the field. Her most cited paper (74 citations) on sEMG-based intention recognition demonstrates the practical impact of her research. She has also developed innovative control frameworks, including RBFNN-based adaptive sliding mode controllers and fuzzy radial-based impedance controllers, which have been cited over 80 times collectively. Beyond lower limb exoskeletons, Dr. Zhang has contributed to novel robotic designs, such as a worm-like in-pipe robot with rigid-soft structure and a magnetically guided helical robot for medical guidewires. Her work on deep learning for multi-sensor fusion in hemiplegia rehabilitation (17 citations) further underscores her commitment to translating complex algorithms into real-world clinical solutions.
Research Focus
Key Achievements
Top Papers
- 1Lower Limb Motion Intention Recognition Based on sEMG Fusion Features74 citations · 2022
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- 6A Novel Worm-like In-Pipe Robot with the Rigid and Soft Structure21 citations · 2023
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