Meiyu Song

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

Meiyu Song is a researcher in intelligent logistics and robotics, with a focus on autonomous sorting systems and computer vision. Their most cited work, "Robot autonomous sorting system for intelligent logistics" (2021, 12 citations), introduces a novel approach that integrates a camera-based image capture system with the Scale Invariant Feature Transform (SIFT) algorithm. This method enables robots to extract package image features and letter information in real time, significantly improving the efficiency and accuracy of automated sorting in logistics environments. By bridging computer vision and robotic manipulation, Song's contribution addresses a critical bottleneck in modern supply chain automation—the need for reliable, high-speed object recognition and handling. While their citation count reflects an emerging impact, the work demonstrates practical applicability in intelligent logistics, a field of growing importance. Song's research is particularly valuable for students and engineers exploring the intersection of robotics, image processing, and industrial automation, offering a foundation for further advances in autonomous warehouse systems.