Xiurong Guo

Papers

Total Citations

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About

Xiurong Guo is a pioneering researcher in the field of forestry robotics, dedicated to automating labor-intensive tasks in forest management and tree planting. His work centers on developing intelligent robotic systems that enhance efficiency and reduce human physical strain in forestry operations. Among his key contributions is an improved neural network-based fuzzy self-adaptive Kalman filter, designed to optimize the performance of cone-picking robots—a project that has garnered 11 citations and demonstrates his expertise in integrating adaptive control with robotic manipulation. Guo also designed a six-degree-of-freedom forestation hole digging robot, which significantly reduces the time required for tree planting, and developed a stump-eradicating robot mounted on a caterpillar excavator. These innovations, though niche, have laid critical groundwork for the mechanization of forestry. With a career spanning foundational work in robot technique applications in forestry, Guo’s research stands as a vital bridge between advanced control theory and practical, environmentally-focused automation.