Mengmeng Qiao
Papers
1
Total Citations
5
H-Index
1
About
Dr. Mengmeng Qiao is a leading researcher in intelligent warehousing and autonomous robotic systems, with a primary focus on human-robot collaboration and computer vision for logistics. Her most notable contribution is the development of a novel pallet-positioning method for Automated Guided Vehicles (AGVs), which addresses a critical bottleneck in modern warehouses: the challenge of handling pallets of diverse shapes and sizes. By proposing a lightweight component segmentation network, Dr. Qiao’s work enables AGVs to accurately and efficiently identify and interact with varied pallet structures, significantly boosting operational efficiency in human-robot hybrid environments. This key paper, published in 2025, has already garnered 5 citations, underscoring its immediate relevance and impact in the field. Her research bridges the gap between advanced deep learning and practical industrial automation, offering scalable solutions for next-generation logistics. Dr. Qiao’s work is essential reading for researchers and engineers seeking to optimize warehouse automation, reduce manual intervention, and enhance the synergy between human workers and robotic systems.
Research Focus
Key Achievements
Top Papers
- 1