Yanxu Wu

Zhejiang Sci-Tech University, National Taiwan University

Papers

Total Citations

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About

Yanxu Wu is a pioneering researcher at the intersection of agricultural robotics and human-robot interaction, with key contributions spanning multimodal perception systems and intelligent harvesting technologies. Wu's most impactful work addresses the critical challenge of cross-variety tea shoot detection, developing an RGB-D object detection model with high generalization ability that eliminates the need for exhaustive variety-specific databases. This breakthrough, published in 2024 and already garnering 16 citations, directly tackles one of the most pressing bottlenecks in agricultural automation—enabling robots to recognize and harvest tea shoots across thousands of varieties without costly retraining. Wu's earlier foundational research in multimodal information fusion for human-robot interaction (2015, 15 citations) established essential frameworks for combining hand sign and emotion recognition, creating more intuitive and responsive robotic systems. This dual expertise—bridging agricultural robotics with human-centered interaction design—positions Wu as a unique voice in developing robots that work both alongside humans and in complex outdoor environments. With a growing citation trajectory and work directly applicable to sustainable agriculture and human-robot collaboration, Wu's research continues to shape the future of intelligent robotic systems.