Gyu-Sung Cho

Papers

Total Citations

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About

Gyu-Sung Cho is a rising scholar at the intersection of logistics, robotics, and human factors engineering. His primary research focuses on optimizing human–robot collaborative systems within warehouse and order-picking environments, with a particular emphasis on modeling worker performance to improve efficiency and safety. Cho’s most-cited work, "Agent-based modelling for human–robot collaborative order picking system considering workers’ performance" (2024, 9 citations), introduces a novel simulation framework that accounts for individual worker variability, a critical step toward more adaptive and human-centered automation in logistics. He has also contributed to strategic policy analysis through "Trend Analysis on Korea’s National R&D in Logistics" (2020, 3 citations), which examines how Industry 4.0 and the rapid expansion of e-commerce are reshaping the logistics paradigm—a shift he terms "Logistics 4.0." By bridging computational modeling with real-world operational challenges, Cho’s work offers practical insights for designing smarter, more resilient supply chains. His research is particularly relevant for students and practitioners interested in the future of work, collaborative robotics, and data-driven logistics innovation.