Zuo‐Jun Max Shen

University of California, Berkeley, Berkeley College, University of Hong Kong

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About

Zuo‐Jun Max Shen is a leading scholar in operations research and logistics, whose work is reshaping the future of automated warehousing and supply chain systems. His research focuses on the intersection of robotics, human–robot collaboration, and optimization in large-scale fulfillment centers. Shen’s most influential contribution is his work on the item assignment problem in robotic mobile fulfillment systems (RMFS), where he developed algorithms to optimize how inventory pods are allocated to picking stations—a foundational challenge for modern e-commerce giants like Amazon. With 47 citations, this paper has become a key reference for practitioners and researchers alike. He has also advanced the field of multi-robot path planning, tackling the complex problem of coordinating robot fleets in dynamic, time-varying environments. Most recently, Shen has pioneered the study of cobot-based collaborative order picking systems (2025), exploring how human pickers and robots can work side by side to maximize efficiency and flexibility. His work is not only highly cited but also directly applied in industry, making him a pivotal figure bridging academic theory and real-world logistics innovation.