Papers
9
Total Citations
445
H-Index
6
About
Xianhao Xu is a prominent operations research scholar whose work centers on the design, optimization, and performance analysis of autonomous robotic systems in warehousing, logistics, and e-commerce fulfillment. His research has made foundational contributions to understanding how robotic technologies—including mobile fulfillment robots, compact storage systems, and parcel-sorting robots—can be deployed more efficiently through intelligent operating policies and assignment strategies. Xu's most influential work examines robotic mobile fulfillment systems (RMFS), where his 2017 studies on battery management strategies and workstation assignment rules have collectively attracted nearly 270 citations, establishing him as a key authority in this rapidly evolving field. His subsequent investigations into robotic compact storage and retrieval systems and robotic sorting systems have further broadened the scope of his contributions, addressing real-world challenges such as throughput optimization, congestion management, and space efficiency in distribution centers. What distinguishes Xu's research is its consistent practical relevance—he bridges rigorous analytical modeling with pressing industry problems, making his findings valuable to both academics and logistics practitioners. His growing body of work, spanning nearly a decade and spanning multiple system architectures, reflects a sustained commitment to advancing the science of automated warehouse operations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Assignment rules in robotic mobile fulfilment systems for online retailers126 citations · 2017
- 3Operating Policies in Robotic Compact Storage and Retrieval Systems60 citations · 2018
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- 5Assignment of parcels to loading stations in robotic sorting systems34 citations · 2022
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