Kewei Ning

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About

Kewei Ning is a leading researcher in soft robotics and bio-inspired engineering, with a primary focus on developing untethered, agile robotic fish using shape-memory alloy (SMA) actuators. Their major contributions center on designing and controlling soft, silicone-bodied fish that mimic natural locomotion through SMA wires stitched into flexible tails, enabling bidirectional bending without rigid joints. Ning’s most cited work, “An untethered soft robotic fish using SMA wires and its performance analysis” (2021), along with subsequent studies on inverse learning control (2022) and wireless actuation (2022), have collectively garnered over 17 citations, establishing a foundation for compact, wirelessly operated underwater robots. Notably, Ning’s research addresses critical challenges in SMA-based actuation—such as thermal management and precise motion control—by integrating intelligent materials with learning-based control strategies. This work has significant implications for environmental monitoring, marine exploration, and biomedical devices, where silent, flexible, and energy-efficient locomotion is essential. Ning’s achievements highlight a pioneering path toward practical, bio-inspired soft robots that operate autonomously in real-world aquatic environments.