Dianzhen Guo
Papers
2
Total Citations
15
H-Index
2
About
Dianzhen Guo is a robotics researcher specializing in pipeline inspection and tunnel boring machine (TBM) automation, with a focus on developing practical robotic solutions for confined and hazardous industrial environments. His work addresses critical challenges in infrastructure maintenance and construction safety. In his highly cited 2021 paper, Guo introduced a multilink-articulated wheeled in-pipe inspection robot capable of navigating small-diameter pipelines (under 200mm) with unknown layouts. By integrating a miniature inertial measurement unit (IMU) with encoder data, his system builds accurate 3D visualized pipeline models—a significant advancement for non-destructive inspection in tight spaces. His 2020 study on robotic disc cutter replacement for shield machines proposed a novel approach to automating one of the most dangerous tasks in tunnel construction, where cutting tools on the cutter head must be replaced under high pressure and confined conditions. With 15 combined citations, Guo’s contributions bridge the gap between theoretical robotics and real-world industrial deployment, offering safer, more efficient alternatives to manual operations in underground infrastructure.
Research Focus
Key Achievements
Top Papers
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