Libo Yao

Papers

1

Total Citations

6

H-Index

1

About

Libo Yao is a researcher advancing the field of pharmaceutical automation and intelligent logistics. Their work focuses on integrating cutting-edge technologies—including 3D cameras, cooperative robots, PLCs, and automated guided vehicles (AGVs)—to streamline drug management in modern healthcare settings. Yao’s most cited paper, “Design of Automatic Drug Sorting System in Warehouse Based on 3D Camera and Cooperative Robot” (2021), presents a novel system that significantly improves efficiency in hospital and large-scale pharmacy warehouses. By combining real-time 3D vision with robotic precision, this work addresses critical challenges in drug sorting accuracy and operational speed. With 6 citations, this contribution has already drawn attention from researchers and practitioners seeking to modernize pharmacy logistics. Yao’s research is particularly notable for its practical, systems-level approach—bridging mechanical design, control engineering, and healthcare needs. Their achievements highlight a commitment to solving real-world problems through interdisciplinary innovation, making their work a valuable reference for students and engineers exploring automation in medical supply chains.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Design of Automatic Drug Sorting System in Warehouse Based on 3D Camera and Cooperative Robot
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago