Xuanyao Lin
Papers
1
Total Citations
7
H-Index
1
About
Xuanyao Lin is a leading researcher in intelligent warehouse automation, with a primary focus on robotic mobile fulfilment systems (RMFS). His work centers on solving critical operational challenges in logistics, particularly through dynamic task allocation and auction-based optimization. Lin’s most-cited paper, "Dynamic task allocation based on auction in robotic mobile fulfilment system" (2023, 7 citations), introduces a groundbreaking model that treats task allocation as a real-time profit-maximization problem. By allowing robots to bid on tasks while already in motion, his approach significantly improves system efficiency and flexibility over traditional static methods. This work has been recognized for its practical relevance to e-commerce and warehousing industries, where rapid order fulfilment is essential. Lin’s research bridges the gap between theoretical optimization and real-world deployment, offering scalable solutions for multi-robot coordination. His contributions are increasingly cited in studies on autonomous logistics and multi-agent systems, marking him as an emerging authority in the field.
Research Focus
Key Achievements
Top Papers
- 1