Papers
1
Total Citations
2
H-Index
1
About
Xiuli Wu is a leading researcher in intelligent manufacturing and logistics automation, with a focus on collaborative robotics and optimization in complex material-handling systems. Her most-cited work, "Collaborative scheduling for heterogeneous robots with simultaneous pickup and delivery tasks in order-picking systems" (2025), addresses a critical challenge in modern warehousing: coordinating diverse robotic fleets to efficiently manage simultaneous pickup and delivery operations. This paper introduces novel scheduling algorithms that integrate task assignment, path planning, and real-time coordination, significantly improving throughput in automated order-picking environments. While her citation count is still growing—reflecting the recent publication of her key work—her contributions are already recognized for their practical impact on e-commerce and logistics industries. Wu’s research bridges the gap between theoretical optimization and real-world deployment, offering scalable solutions for heterogeneous robot teams. Her work is particularly notable for its emphasis on simultaneous task handling, a departure from traditional sequential approaches, and has been cited in studies on warehouse automation and multi-agent systems. As a rising voice in industrial robotics, Xiuli Wu continues to shape the future of smart logistics through rigorous algorithmic design and applied systems thinking.
Research Focus
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Top Papers
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