Zelin Chen
Papers
1
Total Citations
2
H-Index
1
About
Zelin Chen is a rising researcher in intelligent logistics and robotics, with a focus on optimizing autonomous systems for digital-intelligent warehouses. Their most-cited work, "Task Allocation Algorithm and Simulation Analysis for Multiple AMRs in Digital‐Intelligent Warehouses" (2025), tackles critical challenges in automated cargo handling, including heavy task loads, high computational demands, and vast solution spaces. Chen proposes novel task allocation algorithms designed to achieve stable, efficient, and balanced operation of multiple Autonomous Mobile Robots (AMRs), addressing real-world bottlenecks in warehouse automation. Though early in their career, with 2 citations to date, this work demonstrates Chen’s potential to influence the fields of multi-robot systems, logistics optimization, and smart manufacturing. Their research bridges algorithmic theory and practical simulation, offering scalable solutions for industry 4.0 environments. As digital-intelligent warehouses become increasingly vital to global supply chains, Chen’s contributions promise to enhance operational efficiency and reduce computational overhead, marking them as a researcher to watch in autonomous logistics and multi-agent coordination.
Research Focus
Key Achievements
Top Papers
- 1