Wenbo Guan

Papers

Total Citations

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About

Wenbo Guan is a robotics researcher whose work focuses on advancing inspection technologies for critical infrastructure, particularly in cable tunnels. His most-cited study, "Research on Key Technologies of Cable Tunnel Inspection Robot" (2019), addresses the fundamental challenges of autonomous navigation and control in confined, hazardous underground environments. In this work, Guan designed a dual-processor control system integrating NVIDIA Jetson TX2 and STM32F407, enabling real-time image processing and precise motion control. He also developed a specialized mechanical structure that allows the robot to traverse fixed obstacles and uneven surfaces, a key requirement for practical deployment in cable tunnels. While his citation count is still growing, Guan’s contributions are significant for the field of industrial robotics, offering a scalable solution to reduce human risk in tunnel inspections. His work bridges embedded systems, mechanical design, and autonomous navigation, laying groundwork for smarter, more reliable inspection robots. As infrastructure monitoring becomes increasingly automated, Guan’s research represents a foundational step toward safer, more efficient maintenance of urban utility networks.