Shujing Zhang

Beijing University of Civil Engineering and Architecture

Papers

Total Citations

H-Index

About

Shujing Zhang is a researcher specializing in intelligent robotics for critical infrastructure, with a primary focus on substation automation and mobile robot perception. Their most impactful work, "Equipment Failure Detection Method of Substation Based on Tunnel Robot" (2020, 13 citations), introduces a novel approach for using robotic platforms equipped with multi-sensor arrays to inspect indoor substations—vital facilities in the power grid. This contribution directly addresses the challenge of ensuring secure, uninterrupted power supply by enabling automated, real-time equipment health monitoring. Zhang has also advanced the field of mobile robotics through research on visual image processing using OpenCV and on moving target detection and tracking systems. Their work on the latter, leveraging Mecanum wheel platforms with pyramid optical flow and CamShift algorithms, tackles the critical problem of safe human-robot coexistence in domestic environments. While Zhang’s citation impact is currently emerging, their focused contributions to practical, sensor-driven inspection and tracking systems demonstrate a clear trajectory toward enhancing operational safety and efficiency in both industrial and service robotics.