Zhangwei Yu
Papers
4
Total Citations
120
H-Index
4
About
Zhangwei Yu is a leading researcher at the intersection of robotics, tactile sensing, and human–robot collaboration, with a focus on advancing safer and more natural interactions in healthcare settings. His major contributions include the development of user-interactive robot skin with large-area scalability, designed to enhance safety and intuitiveness in telehealthcare environments—a work that has garnered 33 citations. Yu also pioneered GuLiM, a hybrid motion mapping technique for teleoperation of medical assistive robots during the COVID-19 pandemic, earning 32 citations for its role in reducing nosocomial infection risks. Notably, his bioinspired co-design of tactile sensors and deep learning algorithms for human–robot interaction (32 and 23 citations) demonstrates a novel approach where sensor hardware and AI are jointly optimized, enabling robots to detect force location and magnitude with high accuracy. This work, featured in *Advanced Intelligent Systems*, highlights Yu’s interdisciplinary impact. His research is pivotal for the next generation of collaborative robots that seamlessly integrate into human environments, from hospitals to homes, making him a key figure in Healthcare 4.0 and assistive robotics.
Research Focus
Key Achievements
Top Papers
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