Qinghao An
Papers
3
Total Citations
9
H-Index
2
About
Qinghao An is a robotics researcher whose work focuses on computer vision and autonomous manipulation for service and industrial robots. His key research areas include binocular vision systems, image registration, and automated object recognition for robotic interaction. An’s major contributions center on solving real-world positioning and recognition challenges that enable robots to operate autonomously in human environments. His most cited work, “Image registration algorithm for high-voltage electric power live line working robot based on binocular vision” (2017, 4 citations), addresses the critical problem of precision positioning for manipulators handling drop switches in high-voltage power line maintenance. This research directly impacts the safety and efficiency of live-line working robots. Additionally, An has developed innovative methods for elevator button recognition using auto-slant correction and projection histogram (2017, 3 citations), as well as a button location technique employing artificial marks and geometric transformation (2018, 2 citations). These contributions are particularly notable for enabling robots to navigate multi-floor buildings autonomously—a fundamental capability for service robots. Though his citation counts are modest, An’s work demonstrates practical, application-driven research that bridges computer vision algorithms with real robotic systems, making meaningful advances in autonomous robot operation.
Research Focus
Key Achievements
Top Papers
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