Shuxian Dong

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About

Shuxian Dong is a researcher in agricultural robotics and intelligent perception systems, with a focus on enabling autonomous navigation and environmental sensing for precision farming. Her major contributions lie in two key areas: robust path-following control for agricultural robots and sensor fusion for tree trunk detection. In her most-cited work (14 citations), she developed a sliding mode variable structure controller for differential-drive agricultural wheeled robots, addressing the challenge of nonlinear, strongly coupled dynamics to achieve accurate path tracking—a critical capability for autonomous field operations. Complementing this, her research on trunk detection (11 citations) introduced a novel algorithm that fuses 2D laser radar data with vision camera inputs, enabling reliable identification and localization of tree trunks in forestry and orchard environments. This multi-sensor fusion approach overcomes the limitations of single-sensor systems, improving detection accuracy under variable lighting and terrain conditions. Dong’s work directly supports the development of intelligent agricultural machinery, bridging control theory and practical sensing to enhance automation in fruit farming and forestry management. Her publications have accumulated over 28 citations, reflecting their growing relevance to the field of agricultural robotics.