Wei Geng

Papers

Total Citations

H-Index

About

Wei Geng is a robotics researcher whose work centers on intelligent inspection systems for critical infrastructure, with a particular focus on cable tunnel environments. His most-cited paper, "Research on Key Technologies of Cable Tunnel Inspection Robot" (2019), addresses fundamental challenges in deploying autonomous robots in confined, hazardous underground spaces. In this work, Geng developed a dual-processor control architecture combining the NVIDIA Jetson TX2 for high-level perception with the STM32F407 for real-time motion control, enabling robust navigation on fixed guide rails. While his citation count remains modest at 3, the technical significance lies in his integrated approach to mechanical design and embedded systems—creating a platform that can traverse narrow tunnels while avoiding obstacles and maintaining stable operation. Geng’s contributions are particularly valuable for the power industry, where manual cable tunnel inspections pose safety risks. His research bridges the gap between theoretical robotics and practical field deployment, offering a blueprint for cost-effective, reliable inspection robots. For students and researchers in field robotics, Geng’s work exemplifies how constrained environments drive innovative solutions in locomotion, sensing, and control.