Shundong Yang
Papers
1
Total Citations
7
H-Index
1
About
Shundong Yang is a leading researcher in intelligent construction and underground engineering, with a focus on automating critical processes in shield tunneling. His work bridges computer vision, robotics, and geotechnical engineering to enhance safety and efficiency in subsurface excavation. Yang’s most-cited paper, “Automatic segment assembly in shield method using multiple imaging sensors” (2020, 7 citations), addresses a longstanding bottleneck in tunnel construction: the manual, experience-driven assembly of concrete segments. By integrating multiple imaging sensors and computer vision algorithms, he pioneered a system that enables robots to automatically align and place segments, reducing human error and construction time. This contribution has significant implications for the automation of heavy civil infrastructure, particularly in urban metro and deep tunnel projects. Yang’s research is notable for its practical impact, offering a pathway to fully mechanized shield tunneling. His work has been recognized for advancing the field of construction robotics, and he continues to develop sensor fusion and real-time control methods that push the boundaries of autonomous underground construction.
Research Focus
Key Achievements
Top Papers
- 1