Yuxing Fu

Papers

Total Citations

H-Index

About

Yuxing Fu is an emerging researcher specializing in agricultural robotics, motion planning, and autonomous systems for horticultural applications. His work addresses one of modern agriculture's most pressing challenges: automating labor-intensive tasks such as fruit harvesting and tree pruning to combat skilled labor shortages and improve operational efficiency in orchards. Fu's most significant contributions center on advanced path planning algorithms for agricultural manipulators operating in complex, unstructured natural environments. His development and refinement of improved RRT-Connect (Rapidly-exploring Random Tree) algorithms have demonstrated practical solutions for obstacle avoidance in fruit tree pruning and mango harvesting robots, earning 29 and 19 citations respectively. His 2022 pruning manipulator study stands as his most influential work, establishing a methodological foundation that he continued building upon in subsequent research. Beyond motion planning, Fu has made notable strides in tree morphology analysis, developing a space colonization algorithm-based approach for skeleton extraction and pruning point identification in jujube trees — work that has garnered 15 citations since 2023. Collectively, his research bridges robotics, computer vision, and precision agriculture, positioning him as a promising contributor to the growing field of intelligent agricultural automation.