Papers
27
Total Citations
1,750
H-Index
17
About
Hanwen Kang is a leading researcher in agricultural robotics and computer vision, with a particular focus on autonomous fruit harvesting systems and intelligent sensing technologies. His work addresses one of modern agriculture's most pressing challenges: developing robotic solutions to overcome labor shortages while meeting the demands of a growing global population. Kang's most celebrated contribution, "Intelligent Robots for Fruit Harvesting" (2022, 272 citations), offers a comprehensive review of the field's advancements and remaining challenges, establishing him as a key synthesizer of progress in agricultural automation. His parallel work on 3D vision technologies for structural crack detection (267 citations) demonstrates a versatile command of computer vision beyond agriculture. Through foundational studies on fruit detection, segmentation, and 3D orchard visualization (217 citations), real-time grasping estimation (179 citations), and soft robotic gripper development (140 citations), Kang has systematically tackled every layer of the harvesting pipeline—from perception to physical manipulation. His research further extends to LiDAR-camera fusion for precise fruit localization, deep learning-based citrus sorting, and dynamic real-time detection systems. With over 1,400 cumulative citations across a relatively short publication window, Kang's work is rapidly shaping the future of precision agriculture and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting179 citations · 2020
- 5Development and evaluation of a robust soft robotic gripper for apple harvesting140 citations · 2022
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- 10ORB-Livox: A real-time dynamic system for fruit detection and localization50 citations · 2023