Yimeng Meng
Papers
2
Total Citations
81
H-Index
2
About
Yimeng Meng’s research lies at the intersection of agricultural robotics and food engineering, with a primary focus on developing gentle, damage-free grasping strategies for harvesting robots. Her work addresses a critical challenge in agricultural automation: how to handle delicate, viscoelastic fruits like tomatoes without causing mechanical injury. In her most-cited paper (73 citations), she conducted a comparative study of mechanical damage caused by a two-finger tomato gripper under different robotic grasping patterns, providing foundational insights for gripper design. Her earlier work proposed an optimum grasping strategy based on real-time estimation of viscoelastic parameters using the Burgers model, enabling rapid and stable harvesting while minimizing bruising. Though her publication record is early-stage, the impact of her research is evident in its adoption by the agricultural robotics community, where her findings inform the development of smarter, more adaptive harvesting systems. Meng’s contributions are particularly valuable for advancing sustainable agriculture through precision robotics, and her work continues to influence the design of end-effectors that balance speed, stability, and fruit integrity.
Research Focus
Key Achievements
Top Papers
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