Ziyao Fan
Papers
1
Total Citations
1
H-Index
1
About
Ziyao Fan is a rising researcher in industrial and systems engineering, with a focus on human-robot collaboration and optimization in automated warehousing and logistics. His work centers on the critical intersection of robotics, operations research, and human factors, particularly within robotic mobile fulfillment systems (RMFS). Fan’s major contribution lies in developing optimization models for human-robot collaborative picking, addressing the complex coordination between mobile robots transporting storage pods and human pickers at stations. His 2024 paper on this topic, though early in citation impact, introduces novel approaches to pod selection and multi-robot task allocation that improve system throughput and efficiency. This work is foundational for next-generation e-commerce and distribution centers, where seamless human-robot cooperation is essential. Fan’s research is notable for its practical orientation, directly informing the design of more responsive and productive fulfillment systems. As his work gains traction, it promises to shape how warehouses balance automation with human skill, making him a key voice in the evolving field of cyber-physical logistics.
Research Focus
Key Achievements
Top Papers
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