Runjing Li
Papers
1
Total Citations
5
H-Index
1
About
Runjing Li is a researcher at the forefront of food engineering and automation, specializing in the development of intelligent systems for quality assessment in food processing. Their key research areas include computer vision, collaborative robotics, and the objective measurement of powder rehydration properties. Li’s most notable contribution is the design of an automated platform that integrates a collaborative robot with computer vision to evaluate infant formula powder rehydration quality, replacing subjective manual methods with precise, data-driven analysis. This work, published in 2024 and already garnering 5 citations, demonstrates a novel approach to quantifying foam height and other rehydration metrics, offering significant potential for improving product consistency and safety in the food industry. By bridging robotics and sensory science, Li’s research addresses a critical gap in process control, enabling faster, more reliable quality assurance. Their innovative use of cobots in food testing highlights a commitment to advancing automation in manufacturing, making their work highly relevant for students and researchers exploring the intersection of AI, robotics, and food technology.
Research Focus
Key Achievements
Top Papers
- 1