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About

Qiang Fu is a robotics researcher whose work bridges intelligent control systems and bio-inspired aerial robotics — two fields that together define his distinctive scientific identity. His early contributions focused on advanced control theory for robotic systems, developing neural network-based fault tolerant and fixed-time control schemes for uncertain robotic platforms. His 2019 paper applying Gaussian radial basis function neural networks to handle actuator failures in robotic manipulators has accumulated 149 citations, reflecting its significant influence in robust control literature. Fu's research trajectory evolved ambitiously toward flapping-wing aerial robots, where he has made particularly striking contributions. His 2022 work on an all servo-driven bird-like robot capable of autonomous flight garnered 138 citations, establishing him as a leading voice in avian-inspired drone development. Subsequent projects expanded this vision further — designing cambered-wing robots for autonomous airdrop missions, an eagle-scale long-endurance platform, and the innovative USTButterfly series mimicking butterfly flight mechanics. More recently, Fu has integrated eagle-eye-inspired vision systems into flapping-wing platforms, enabling target detection and localization for real-world reconnaissance applications. Collectively, his publications demonstrate a researcher committed to translating biological flight principles into deployable, intelligent aerial systems with genuine practical consequence.