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About

Wei Ji is a prominent robotics researcher whose career has been dedicated to advancing the field of agricultural automation, with a particular focus on apple harvesting robotics. Over more than a decade of sustained inquiry, Ji has made foundational contributions to robotic manipulator design, compliant grasping control, and intelligent impedance control systems tailored for delicate fruit harvesting applications. Among Ji's most influential contributions is the development of adaptive variable parameter impedance control methods that minimize mechanical damage to fruit during robotic picking — a challenge at the intersection of biomechanics and control engineering. By incorporating viscoelastic models such as the Burgers model to characterize apple rheological properties, Ji's work bridges biological material science with precision robotics. These efforts have earned significant recognition, with key papers accumulating 47, 46, and 40 citations respectively, reflecting their strong influence within the agricultural robotics community. Ji's research trajectory spans from early manipulator design — including a five-DOF articulated harvesting arm developed in 2010 — to cutting-edge reinforcement learning approaches such as DDPG-based impedance control published in 2025. This long arc of innovation demonstrates both technical depth and an ability to incorporate emerging AI methodologies into practical robotic systems, making Ji's work essential reading for researchers pursuing intelligent, damage-free automation in precision agriculture.