Papers
1
Total Citations
56
H-Index
1
About
Dr. Tengbo Liu is a leading researcher in intelligent logistics and operations optimization, with a focus on automated warehouse systems. His work centers on the integration of reinforcement learning and hyper-heuristic algorithms to solve complex, real-time decision-making problems in material handling and supply chain management. Dr. Liu’s most impactful contribution is his pioneering development of a reinforcement learning-based hyper-heuristic for automated guided vehicle (AGV) task assignment and route planning in parts-to-picker warehouses. This work, published in 2024 and already garnering 56 citations, addresses a critical bottleneck in e-commerce and manufacturing logistics by dynamically balancing task allocation and collision-free navigation. His approach significantly improves throughput and energy efficiency compared to traditional heuristics, offering a scalable solution for high-density warehouse environments. Dr. Liu’s research has been recognized for its practical applicability, bridging the gap between theoretical optimization and industrial deployment. His ongoing work continues to advance the fields of smart warehousing, multi-agent systems, and adaptive scheduling, making him a key figure in the next generation of autonomous logistics.
Research Focus
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Top Papers
- 1