Xianqi Liang

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About

Xianqi Liang is a rising researcher in the field of unmanned aerial vehicles (UAVs), with a focused expertise in wind field estimation and environmental sensing. His most-cited work, "DOB-based Wind Estimation of A UAV Using Its Onboard Sensor" (2024), addresses critical challenges in meteorological research by improving the accuracy of wind measurements using UAVs. Liang’s major contribution lies in developing a disturbance observer-based (DOB) method that leverages onboard sensors to estimate wind conditions more reliably, overcoming the low precision and operational limitations of traditional approaches. This work has already garnered 5 citations in a short time, signaling its growing impact on the UAV and atmospheric science communities. By enhancing the capability of drones to function as mobile weather stations, Liang’s research supports applications in precision agriculture, disaster monitoring, and climate studies. His innovative approach to sensor fusion and real-time estimation marks him as a promising contributor to autonomous systems and environmental monitoring, with potential for significant future influence in both robotics and meteorology.