Papers
4
Total Citations
102
H-Index
4
About
Yafeng Cui is a rising star in soft robotics, whose work masterfully bridges the gap between bio-inspired design and practical, high-performance actuation. His research focuses on three core areas: the control of shape memory alloy (SMA) actuators, the development of adaptive soft grippers, and the creation of medical robots for autonomous diagnosis. Cui’s most significant contribution is his pioneering work on active-cooling-in-the-loop control for SMA-driven soft robots, a breakthrough that directly tackles the notorious bandwidth limitations of these actuators, enabling faster, more precise motion in a soft robotic tentacle (62 citations). He has also made substantial strides in robotic perception and manipulation. His work on fusing local strains with global poses for shape reconstruction (21 citations) provides a novel method for a soft continuum robot to “feel” its own body, while his underactuated gripper design, featuring semi-active multi-degree-of-freedom endoskeletons (13 citations), elegantly solves the trade-off between shape adaptability and lateral stiffness. Demonstrating a clear translational impact, Cui has applied his soft end-effector technology to automate oropharyngeal swab sampling for diagnosing respiratory infectious diseases, a timely and critical achievement that highlights the real-world potential of his research.
Research Focus
Key Achievements
Top Papers
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