Zhenggang Guo
Papers
2
Total Citations
10
H-Index
2
About
Zhenggang Guo is a robotics engineer focused on automating heavy construction machinery, with a particular emphasis on tunnel boring machine (TBM) operations. His research addresses the critical safety and efficiency challenges of manual disc cutter replacement—a hazardous task that currently limits TBM productivity. Guo’s major contributions include the design and motion control of a PPRP-type serial robot specifically engineered to operate in the narrow, confined spaces inside TBMs, achieving full coverage of disc cutter replacement zones. He has also pioneered trajectory planning methods for this cutter-changing robot using binocular vision systems, enabling precise autonomous navigation and manipulation. Though his most-cited works—"Motion Control of Disc Cutter Changing Robot Body for Tunnel Boring Machine" (6 citations) and "Trajectory planning of TBM cutter changing robot based on binocular vision" (4 citations)—are early in their citation lifecycle, they represent foundational steps toward fully roboticizing TBM maintenance. Guo’s work directly addresses a pressing industrial need, promising to improve worker safety and construction efficiency in tunnel engineering. His research sits at the intersection of robotics, computer vision, and heavy machinery automation, with potential applications extending to other confined-space industrial tasks.
Research Focus
Key Achievements
Top Papers
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- 2