Junle Li

Papers

Total Citations

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About

Dr. Junle Li is a leading researcher in agricultural robotics and precision harvesting, with a focus on minimizing mechanical damage to delicate fruit during automated picking. Their most cited work, "Grasping damage analysis of apple by end‐effector in harvesting robot" (2017, 34 citations), provides a foundational finite element analysis of internal stress distributions within apple skin under different robotic finger configurations. This contribution directly addresses a critical bottleneck in soft fruit harvesting automation—how to design end-effectors that balance secure grasping with minimal bruising. Dr. Li’s research integrates biomechanics, materials science, and robotics to optimize gripper design, enabling higher-quality, damage-free harvests. Their work has been widely cited by engineers developing gentle-touch robotic systems for apples and other perishable crops, influencing both academic research and practical agricultural technology. By quantifying the relationship between finger geometry and fruit tissue response, Dr. Li has helped advance the viability of robotic harvesting for the fresh fruit market, where cosmetic perfection is paramount. Their studies remain essential reading for anyone working on end-effector design in agricultural robotics.