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About

Zhanshe Guo is a leading researcher in the field of pipeline inspection robotics, with a focus on automated defect detection and 3D vision measurement for industrial infrastructure. Their work centers on developing intelligent robotic systems capable of navigating complex pipe environments and performing high-precision inner surface inspections. Guo’s most cited paper, “Design of hexapod robot equipped with omnidirectional vision sensor for defect inspection of pipeline’s inner surface” (2024, 13 citations), introduces a novel hexapod platform that integrates omnidirectional vision to automate and quantify defect recognition—a significant advancement over traditional manual video-based methods. This work is complemented by the “Design and Realization of a 6-Wheeled In-Pipe Robot” (2022, 7 citations), which features an auto-adjusting, 120° evenly distributed support structure for adapting to varying pipe diameters. Most recently, Guo’s 2025 study on a “Pipeline inner surface 3D vision measuring system based on robot equipped with multi-directional structured-light sensor” (2 citations) pushes the frontier of vision perception, employing structured-light sensors for robust, high-stability 3D measurement. Collectively, Guo’s contributions are driving the automation, accuracy, and intelligence of pipeline defect inspection, with direct applications in production safety and infrastructure maintenance.