Papers
7
Total Citations
181
H-Index
6
About
Yuyang Wei is a pioneering researcher at the intersection of soft robotics, tactile sensing, and biomechanics, whose work is reshaping how machines interact with the physical world. His primary research areas include bioinspired soft robotics, tactile sensor design, and human sensorimotor mechanisms. Wei’s major contributions lie in developing fully 3D-printed, flexible tactile sensors that integrate biomimetic and auxetic structures, achieving unprecedented sensitivity under high pressure and adaptability to uneven surfaces—a breakthrough for robotic prostheses. His highly cited 2021 paper on the biology and bioinspiration of soft robotics (91 citations) provides a foundational framework for coordinating actuation, sensing, and system integration in nature-inspired machines. Wei has also advanced the understanding of human touch by modeling the neural pathway from afferent tactile signals to efferent motor control, using finite element hand models to predict neural signals for artificial nerves. His biomechanical analyses of finger extensor mechanisms and joint configurations (2022) have direct implications for clinical diagnosis, surgical planning, and biomimetic hand design. With over 180 total citations and recent work extending to reinforcement learning for cooperative robotics (2025), Wei is a rising leader in creating more intelligent, sensitive, and human-like robotic systems.
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