Chuhong Ou
Papers
2
Total Citations
12
H-Index
2
About
Chuhong Ou is a robotics researcher focused on advancing autonomous systems for precision agriculture, particularly in unstructured orchard environments. Their work centers on developing intelligent perception and control algorithms that enable mobile robots and harvesting manipulators to operate reliably under real-world field conditions. Ou’s most cited paper, “Human-Following Strategy for Orchard Mobile Robot Based on the KCF-YOLO Algorithm” (2024, 8 citations), addresses a critical challenge in human-robot collaboration: maintaining robust tracking when personnel are partially occluded by obstacles or overlapping in complex orchard settings. This work integrates tracking and detection frameworks to improve navigation reliability. More recently, Ou’s 2025 study, “The YOLO-OBB-Based Approach for Citrus Fruit Stem Pose Estimation and Robot Picking” (4 citations), tackles the difficult problem of precisely localizing picking points on fruit stems that are often hidden by leaves, branches, or overlapping fruit. By leveraging oriented bounding boxes, this approach enhances robotic harvesting efficiency. Together, Ou’s contributions demonstrate a clear trajectory toward making agricultural robots more perceptive, resilient, and practically deployable, with direct implications for reducing labor demands in fruit production.
Research Focus
Key Achievements
Top Papers
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