Xiangyin Meng
Papers
1
Total Citations
2
H-Index
1
About
Xiangyin Meng is a leading researcher in intelligent agricultural robotics, with a primary focus on the design and kinematic modeling of specialized harvesting systems. His most-cited work, "Design and Kinematic Modeling of Grape Picking Robot Arm" (2023), addresses the critical challenge of automating delicate fruit harvesting. Meng’s major contribution lies in integrating deep learning with robotic manipulation: he proposed a method that uses a depth camera for precise visual localization of grapes and designed a custom picking end-effector. This approach directly tackles the complexity of non-rigid, cluster-based crops, moving beyond simple binary grasping. While his citation count (2) reflects the nascent stage of this specific publication, the work represents a foundational step in the field. Meng’s research is notable for its practical, experimental validation—his picking tests demonstrate a viable pathway from lab to field. By combining computer vision, kinematics, and end-effector design, he is helping to shape the next generation of intelligent agricultural tools, aiming to reduce labor dependency and improve harvest efficiency for specialty crops.
Research Focus
Key Achievements
Top Papers
- 1Design and Kinematic Modeling of Grape Picking Robot Arm2 citations · 2023