Lijun Li

Central South University of Forestry and Technology, Central South University

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About

Lijun Li is a pioneering researcher in agricultural robotics, with a focus on automating the harvesting of *Camellia oleifera*, a crop of significant economic importance. His key research areas include computer vision, robotic manipulation, and advanced control systems for unstructured agricultural environments. Li’s major contribution is the development of an improved YOLOv7-based trunk detection method, which enables harvesting robots to accurately locate vibration and picking points in complex, natural settings—a critical advancement over traditional, less reliable algorithms. This work, published in 2023, has already garnered 19 citations, underscoring its immediate impact on the field. He has also designed a novel four-degree-of-freedom manipulator specifically for picking camellia pollen, addressing a critical gap in mechanized equipment and reducing labor intensity. Furthermore, Li has advanced robotic control theory by proposing an improved fixed-time nonsingular terminal sliding mode control method, which enhances the tracking performance of robotic manipulators under complex uncertainties. Through these innovations, Li is driving the modernization and sustainability of agricultural robots, making him a notable figure in precision agriculture and robotic automation.