Zhipeng Guo

South China Agricultural University, Shaoguan University

Papers

Total Citations

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About

Zhipeng Guo is a rising researcher in agricultural robotics and computer vision, whose work focuses on enabling intelligent automation in complex, unstructured orchard and plantation environments. His key research areas include autonomous navigation, human-robot collaboration, and precise fruit harvesting for specialty crops. Guo’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 mechanized orchard production: maintaining reliable human-following capability despite obstacles and personnel overlap. He further advances robotic harvesting with “The YOLO-OBB-Based Approach for Citrus Fruit Stem Pose Estimation and Robot Picking” (2025, 4 citations), which tackles the difficult problem of locating obscured fruit stems for efficient picking. His work on “Visual navigation path recognition method for tea plantation based on improved DeeplabV3+” (2025, 2 citations) introduces novel feature extraction modules and a Huber regression-based scanning method for path recognition. Through these contributions, Guo is helping to bridge the gap between computer vision algorithms and practical agricultural robotics, with potential applications in reducing labor costs and increasing harvesting efficiency for fruit and tea crops.