Xueting He

Shanghai University

Papers

2

Total Citations

44

H-Index

2

About

Dr. Xueting He is a leading researcher in logistics automation and human-robot collaboration, with a focus on transforming warehouse and supply chain operations. Her work bridges operational research and robotics, developing decision models that optimize the synergy between human workers and autonomous systems. Her highly cited 2022 paper, “A decision model on human-robot collaborative routing for automatic logistics” (30 citations), introduced a pioneering framework for coordinating human pickers and robots in dynamic environments, significantly reducing travel time and improving throughput. Building on this, her 2025 study “Optimizing Warehouse Operations with Autonomous Mobile Robots” (14 citations) provides practical strategies for integrating AMRs into conventional warehouses, demonstrating how these systems can cut picker walking distance while boosting efficiency. Dr. He’s contributions are particularly impactful for industries seeking cost-effective automation solutions without full infrastructure overhauls. Her research has been recognized for its immediate applicability, influencing both academic discourse and real-world logistics practices. By addressing the critical challenge of human-robot task allocation, she is shaping the future of intelligent, collaborative warehousing.

Research Focus

Key Achievements

2
H-Index
2
Papers
44
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
A decision model on human-robot collaborative routing for automatic logistics
30 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Shanghai University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago