Jingrong Li

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About

Jingrong Li is a leading researcher in robotic machining, specializing in the optimization of industrial robot performance for high-precision manufacturing. Her work addresses a critical challenge: the inherent low stiffness of industrial robots, which limits their use in freeform surface milling. Li’s major contribution lies in developing a comprehensive framework that simultaneously optimizes both robot posture and workpiece setup to enhance machining quality. Her highly cited 2021 paper, "Optimization of Robot Posture and Workpiece Setup in Robotic Milling With Stiffness Threshold" (96 citations), introduces a stiffness threshold-based approach that significantly improves process stability and accuracy. By demonstrating that workpiece positioning is as crucial as robot configuration, Li has provided a practical, cost-effective solution for industries seeking to deploy robots for complex milling tasks. Her research bridges the gap between robotic flexibility and machining precision, offering clear guidelines for setup optimization. With growing recognition in the manufacturing and robotics communities, Li’s work is shaping the future of automated, high-quality freeform surface production.