Papers
4
Total Citations
18
H-Index
2
About
Chi Zhu is a robotics and biomedical engineering researcher whose work spans rehabilitation robotics, human-machine interfaces, and surgical assistance systems. His research addresses some of the most pressing challenges in assistive technology, particularly developing intelligent robotic solutions for elderly mobility, stroke recovery, and orthopedic surgery. His early contribution, an omnidirectional wheelchair robot designed to provide walking support and power assistance, demonstrated his commitment to practical, patient-centered engineering and has garnered 10 citations since its 2010 publication. More recently, Zhu has pushed the boundaries of neural and muscular signal integration, exploring how EEG and sEMG fusion can enable online, real-time control of lower extremity exoskeletons — a technically demanding challenge given the noise-sensitivity of biological signals in real-world environments. His 2025 work on robot-assisted mirror therapy for post-stroke upper limb rehabilitation introduces personalized, multimodal biofeedback frameworks that move beyond the rigidity of conventional mirror therapy. Additionally, his investigations into automated pelvic feature point extraction using deep learning reflect a growing interest in precision surgical robotics. Across these contributions, Zhu exemplifies a researcher dedicated to bridging cutting-edge technology with tangible clinical impact.
Research Focus
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Top Papers
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