Yunting Hui

Papers

Total Citations

H-Index

About

Yunting Hui is a researcher focused on advancing agricultural robotics and mechanization, with a particular emphasis on developing intelligent harvesting systems. Hui’s major contributions lie in the design and optimization of robotic end-effectors for fruit and vegetable picking, specifically targeting the challenges of delicate crop handling. Their most cited work, "Design and Experiment of End-effector for Eggplant Picking Robot" (2018, 5 citations), presents an innovative mechanical solution that improves grasping reliability and reduces damage to produce, addressing a critical bottleneck in agricultural automation. Complementing this, Hui’s review "Application status and development trend of agricultural robot" (2018, 3 citations) provides a comprehensive analysis of global progress in agricultural robotics, highlighting pathways for reducing labor intensity through mechanization. While still early in their career, Hui’s research contributes foundational knowledge to the growing field of precision agriculture, offering practical designs that bridge the gap between laboratory prototypes and field-ready robots. Their work is particularly valuable for students and researchers exploring robotic harvesting, sensor integration, and human-robot collaboration in farming environments.