Qingpeng Han

Shanghai University of Electric Power

Papers

1

Total Citations

2

H-Index

1

About

Qingpeng Han is a researcher at the forefront of intelligent automation, with a primary focus on machine vision technology and high-speed robotic systems. His most-cited work, "Research on High Speed Robot Sorting System Based on Machine Vision Technology" (2021), has garnered 2 citations and stands as a testament to his contributions in enhancing industrial efficiency. In this study, Han explores the transformative potential of robots over human labor, emphasizing their ability to operate tirelessly around the clock with superior stability and precision. By integrating machine vision, his system enables robots to execute sorting tasks with high repetition accuracy, reducing errors and boosting productivity in manufacturing and logistics. This work highlights Han's commitment to advancing automation solutions that leverage the strengths of robotics—such as unwavering energy and exact movement—to overcome human limitations. While his citation count is modest, his research addresses a critical need in modern industry, offering a foundation for future developments in smart sorting technologies. Han's contributions are particularly valuable for students and researchers interested in the practical applications of computer vision and robotics in real-world sorting and handling systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Research on High Speed Robot Sorting System Based on Machine Vision Technology
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Shanghai University of Electric Power

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago