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About

Xunyue Zhao is a researcher specializing in acoustic positioning and navigation systems for agricultural robotics, with a particular focus on greenhouse environments. Their major contributions center on the development of Spread Spectrum Sound-based Local Positioning Systems (SSSLPS), which offer centimeter-level accuracy, low cost, and robust performance in challenging indoor agricultural settings. Zhao’s work addresses critical challenges in greenhouse robotics, including the need for precise position and orientation measurements for small, distributed robots. Their most-cited paper, "Position and orientation measurement system using spread spectrum sound for greenhouse robots" (2020, 16 citations), establishes a foundational method for robot localization. Subsequent studies, such as the temperature-compensated SSSLPS (2020, 6 citations) and evaluations of TDMA and FDMA schemes (2022, 5 citations), demonstrate systematic improvements in accuracy and multi-robot coordination. Zhao’s research is notable for integrating sound velocity compensation and multiple access techniques to overcome environmental variability, making acoustic positioning a practical alternative to expensive traditional systems. With a cumulative impact of over 30 citations, Zhao’s work is shaping the future of low-cost, scalable navigation for precision agriculture.