Papers
8
Total Citations
190
H-Index
6
About
Dr. Chang Zhu is a leading researcher in rehabilitation robotics, with a focus on soft and modular exoskeleton systems for upper and lower limb recovery. Her work addresses critical challenges in stroke rehabilitation, including adaptive control, human-robot interaction, and coordinated movement training. Dr. Zhu’s most cited paper, “Design and control of soft rehabilitation robots actuated by pneumatic muscles: State of the art” (2020, 73 citations), provides a comprehensive review that has become a foundational reference in the field. She has pioneered the use of attention-based deep learning models (CNN-LSTM) to predict joint angles by leveraging limb synergy, enabling more intuitive and responsive exoskeleton control. Her contributions to reconfigurable upper limb exoskeletons with soft modular joints and coordinated rehabilitation path planning have advanced personalized therapy. More recently, Dr. Zhu has focused on soft ankle-foot exoskeletons and optimized impedance control for knee joint rehabilitation, achieving accurate torque estimation and compliant gait assistance. With over 190 total citations, her work is shaping the next generation of safe, adaptive, and patient-specific robotic rehabilitation technologies.
Research Focus
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Top Papers
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- 8A Tendon-Driven Robotic Dexterous Hand Design for Grasping3 citations · 2019