Yitong Guo
Papers
1
Total Citations
5
H-Index
1
About
Yitong Guo is a leading researcher in agricultural robotics, with a primary focus on intelligent automation for fruit and vegetable harvesting. Her work addresses a critical bottleneck in modern agriculture: the low efficiency of picking robots operating in unstructured environments. In her highly cited review, "Fruit and Vegetable Picking Robot Movement Planning: A Review" (2022), Guo systematically analyzes the core challenge of movement planning—the complex interplay between visual identification, localization, and robotic manipulation that often causes significant time delays. By synthesizing existing approaches and identifying key limitations, her review has become a foundational reference for researchers seeking to improve robot efficiency in dynamic field conditions. With 5 citations, this work has already shaped discussions on optimizing path planning and reducing computational overhead. Guo’s contributions are particularly valuable for students and engineers aiming to bridge the gap between controlled lab settings and real-world agricultural applications. Her research continues to drive innovation toward faster, more reliable robotic harvesters, promising to transform labor-intensive fruit and vegetable picking into a seamless, automated process.
Research Focus
Key Achievements
Top Papers
- 1Fruit and Vegetable Picking Robot Movement Planning: A Review5 citations · 2022