Yuanwei Qi

Shenyang Jianzhu University

Papers

1

Total Citations

2

H-Index

1

About

Yuanwei Qi is a researcher whose work sits at the intersection of intelligent robotics, multi-sensor fusion, and industrial automation. Their most cited paper, "Transportation robot based on multi-sensor fusion and machine vision" (2022), has garnered 2 citations and addresses a critical challenge in modern logistics: enabling robots to navigate and operate reliably in dynamic environments by combining machine vision with data from multiple sensors. This work leverages advances in 5G, edge computing, and the Internet of Things (IoT) to deploy artificial intelligence at the network edge, making real-time decision-making possible in industrial settings. Qi’s contributions are particularly relevant as industries increasingly adopt autonomous systems for material handling and transportation. By integrating vision sensing with edge-based AI, their research helps bridge the gap between theoretical computer vision and practical, deployable robotic solutions. Though early in their citation trajectory, Qi’s focus on scalable, sensor-rich automation positions them as a rising contributor to the fields of intelligent manufacturing and cyber-physical systems—a promising voice for students and researchers interested in the future of autonomous industrial robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Transportation robot based on multi-sensor fusion and machine vision
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Shenyang Jianzhu University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago