Papers
7
Total Citations
69
H-Index
5
About
Wanying Chen is pioneering the next generation of intelligent warehouse logistics, with a focus on autonomous rack-climbing robotic systems. Her work addresses critical challenges in modern e-commerce fulfillment, where robots not only retrieve loads from any rack level but also roam freely without conveyors. Chen’s most cited paper, “Analysis and Design of Rack-Climbing Robotic Storage and Retrieval Systems” (2022, 20 citations), lays the foundation for this transformative technology. She has further advanced the field by evaluating battery management and dynamic priority policies to optimize performance and energy consumption, as seen in her 2023 and 2024 studies (14 and 12 citations, respectively). Her research on “Warehouses without Aisles” (2023, 11 citations) reimagines layout design for multi-deep rack systems, while her 2025 work on green robotic warehouses (3 citations) addresses carbon emissions, reflecting a commitment to sustainability. Chen also explores physics-informed neural networks for structural modeling (2025, 6 citations), showcasing her versatility. With over 69 total citations, her contributions are shaping the future of automated, energy-efficient, and environmentally conscious warehousing.
Research Focus
Key Achievements
Top Papers
- 1Analysis and Design of Rack-Climbing Robotic Storage and Retrieval Systems20 citations · 2022
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- 6Robotic warehouse systems considering dynamic priority3 citations · 2024
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