Jiage Huo

Hong Kong Polytechnic University, Beijing Academy of Artificial Intelligence

Papers

Total Citations

H-Index

About

Jiage Huo is a researcher focused on advancing intelligent automation and operational efficiency in logistics and manufacturing systems. Their key research areas include cyber-physical systems, robotic mobile fulfillment, and condition-based maintenance for assembly processes. Huo’s major contributions lie in integrating digital operations with physical systems to optimize order picking—the most time- and cost-intensive operation in supply chains. Their highly cited 2020 paper on cloud-based cyber-physical robotic mobile fulfillment systems (11 citations) demonstrates how real-time control and order correlation patterns can dramatically improve efficiency in warehouse automation. In 2021, Huo extended this work to assembly processes, introducing intelligent workload balance control that incorporates condition-based maintenance (8 citations), reducing downtime and enhancing productivity. With a growing citation impact, Huo’s research bridges the gap between theoretical cyber-physical frameworks and practical industrial applications, offering scalable solutions for modern supply chain challenges. Their work is particularly notable for addressing real-world constraints like maintenance scheduling and order patterns, making it highly relevant for researchers and practitioners in industrial engineering, robotics, and operations management.