Jiuh‐Biing Sheu

National Taiwan University

Papers

4

Total Citations

198

H-Index

4

About

Jiuh-Biing Sheu is a leading voice in the future of logistics and human-robot collaboration, with a research focus on intelligent order fulfillment systems and supply chain management. His work is central to the design of human-friendly, robot-assisted warehouses, where he tackles the critical challenge of coordinating mobile robots with human pickers to maximize both efficiency and worker well-being. Sheu’s major contributions include pioneering models for robot scheduling in mobile-rack warehouses, where his 2021 paper has garnered 98 citations, and developing a novel fatigue-aware framework for human-robot order picking, cited 67 times. His research uniquely integrates real-time data-driven stochastic models with human factors, such as perceived workload and safety, to create truly collaborative environments. More recently, Sheu has explored the complexities of e-commerce supply chains, addressing priority order navigation in multi-robot systems. With a career marked by high-impact publications and a clear focus on practical, human-centric automation, Sheu is a key figure shaping the next generation of agile, safe, and efficient warehousing operations.

Research Focus

Key Achievements

4
H-Index
4
Papers
198
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Robot Scheduling for Mobile‐Rack Warehouses: Human–Robot Coordinated Order Picking Systems
98 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: National Taiwan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago