Yingsong Chen

Chengdu Technological University

Papers

1

Total Citations

3

H-Index

1

About

Yingsong Chen is a researcher in robotics and intelligent systems, with a primary focus on vision-based navigation and autonomous inspection technologies. His most notable contribution is the design and study of a visual pipeline robot that leverages Wi-Fi communication for remote operation and control. In his highly cited work, "Design and Research of Visual Pipeline Robot Based on Wi-Fi," Chen proposes a novel vision navigation strategy that enables the robot to autonomously identify anomalies on pipeline inner walls, recognize curves, and integrate data from multiple sensors. This research addresses critical challenges in pipeline maintenance and inspection, offering a practical solution for detecting structural defects without human entry. Although his citation count is modest, with the paper accumulating 3 citations, Chen’s work represents an early and important step in applying computer vision to confined-space robotics. His contributions are particularly relevant for students and researchers interested in the intersection of robotics, sensor fusion, and real-time image processing for industrial applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Design and Research of Visual Pipeline Robot Based on Wi-Fi
3 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Chengdu Technological University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago