Papers
8
Total Citations
114
H-Index
6
About
Qi Cao is a researcher whose work spans robotics, power grid infrastructure monitoring, and intelligent sensing systems, with growing contributions to 3D computer vision and navigation security. Best known for pioneering multi-robot cyber-physical systems for transmission line inspection, Cao has tackled longstanding challenges in power grid maintenance by replacing labor-intensive manual processes with autonomous robotic solutions. His 2018 paper on multi-robot environmental sensing (38 citations) and companion work on delay-tolerant sensor networks (19 citations) established him as a leading voice in smart grid robotics. His 2020 study on binocular vision-based obstacle detection for cable inspection robots (24 citations) demonstrated sophisticated integration of computer vision with field robotics. More recently, Cao has broadened his research portfolio to include GNSS anti-spoofing detection using machine learning (12 citations), self-supervised 3D point cloud representation learning (8 citations), and human-robot interaction through non-verbal auditory cues. With over 100 cumulative citations, his trajectory reflects a researcher who combines practical engineering innovation with emerging AI methodologies, making his work highly relevant to students exploring robotics, autonomous systems, and intelligent infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
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- 7Non-Verbal Auditory Aspects of Human-Service Robot Interaction4 citations · 2021
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