Papers
1
Total Citations
16
H-Index
1
About
Yu Yan is a researcher specializing in robotics, intelligent inspection systems, and power infrastructure automation. Their work centers on the development and optimization of autonomous inspection technologies for complex electrical environments, particularly gas-insulated switchgear (GIS) substations — critical components of modern power grids that demand precise, reliable monitoring. Yan's most notable contribution to date is a 2022 study introducing a multi-degree-of-freedom rail-mounted inspection robot capable of adaptive pose correction in GIS substation environments. This research addressed a practical and technically demanding challenge: enabling robots to autonomously adjust their positioning across walking, lifting, and monitoring modules to meet the rigorous operational demands of indoor substation inspection. By developing functional models for each robotic subsystem and integrating an adaptive correction methodology, Yan advanced the feasibility of replacing manual inspection in hazardous high-voltage environments. The paper has accumulated 16 citations, reflecting growing interest from the robotics and power systems communities. Yan's research sits at an important intersection of industrial robotics, electrical engineering, and automation — fields increasingly vital as energy infrastructure grows more complex. Their contributions offer meaningful pathways toward safer, more efficient substation management through intelligent robotic systems.
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