Jinbin Li
Papers
7
Total Citations
31
H-Index
4
About
Jinbin Li is a robotics and computer vision researcher whose work centers on intelligent automation for electrical power infrastructure maintenance. His research focuses on developing robotic systems that eliminate the need for human workers to perform hazardous live-line operations in high-voltage and high-magnetic environments, addressing critical safety and efficiency challenges in modern power grid maintenance. Li's most significant contributions include designing binocular vision systems for screw recognition and positioning, developing foreign matter removal robots for overhead transmission lines, and creating precise localization methods for insulator sheds using depth histogram techniques. His 2018 work on hexagon-shaped screw recognition (8 citations) and live working robot systems laid foundational groundwork for automated power line maintenance, while his subsequent research advanced LiDAR-based spatial guidance and high-altitude bolt maintenance robotics. Across his publication record, Li has accumulated approximately 31 citations, reflecting a growing recognition of his niche but highly practical contributions to smart grid technology. His 2024 work on distribution network transmission line identification demonstrates continued innovation in tackling complex outdoor environments where traditional machine learning methods underperform. Overall, Li's research represents meaningful progress toward safer, more efficient unmanned power infrastructure maintenance.
Research Focus
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Top Papers
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