About

Zhichuan Tang is a pioneering researcher at the intersection of rehabilitation robotics, brain-machine interfaces, and soft robotics. His work focuses on restoring motor function for individuals with upper-limb impairments, particularly stroke survivors. Tang’s most impactful contribution is the development of a wearable supernumerary robotic limb (SRL) system that uses a hybrid control approach combining motor imagery from EEG signals with object detection, enabling intuitive motion assistance (56 citations). He has also advanced single-trial classification of different arm movements using ERD/ERS and corticomuscular coherence, a critical step toward practical BMI-controlled prosthetics (44 citations). In soft robotics, Tang has designed bio-inspired actuators, including a Kresling-pattern pneumatic actuator mimicking salp locomotion (21 citations) and an origami-inspired cable-driven continuum robot with dual bending capabilities. His work on self-propelled systems with visco-elastic joints and visualized trajectory planning for flexible manipulators further demonstrates his versatility. With over 160 total citations, Tang’s research bridges neural control, wearable robotics, and biomimetic design, offering transformative solutions for assistive technology and human augmentation.

Research Focus

Key Achievements

5
H-Index
6
Papers
160
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Wearable Supernumerary Robotic Limb System Using a Hybrid Control Approach Based on Motor Imagery and Object Detection
56 citations · 2022
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Shanghai Industrial Technology Institute, Zhejiang University of Technology, Zhejiang Modern Architectural Design & Research Institute, Zhejiang University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago