Wangqi Xiong

Papers

1

Total Citations

9

H-Index

1

About

Dr. Wangqi Xiong is a leading researcher in the optimization of autonomous material handling and logistics systems, with a primary focus on the integration of robotics and operational efficiency in modern warehouses. His most-cited work, "Order sequencing, tote scheduling, and robot routing optimization in multi-tote storage and retrieval autonomous mobile robot systems" (2024, 9 citations), addresses a critical challenge in e-commerce fulfillment centers. Dr. Xiong’s major contribution lies in developing a joint optimization framework that simultaneously coordinates order sequencing, tote scheduling, and robot routing—a complex problem that has traditionally been solved in isolation. By tackling these interdependent decisions together, his research demonstrates significant improvements in throughput and resource utilization for multi-tote autonomous mobile robot (AMR) systems. This work is notable for its practical relevance, offering a blueprint for next-generation warehouse automation that reduces travel time and energy consumption. With growing citation impact, Dr. Xiong’s research is shaping the future of intelligent logistics, bridging the gap between theoretical optimization and real-world robotic deployment.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Order sequencing, tote scheduling, and robot routing optimization in multi-tote storage and retrieval autonomous mobile robot systems
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago