Papers
1
Total Citations
2
H-Index
1
About
Deyu Yuan is a forward-thinking researcher at the intersection of artificial intelligence, robotics, and public safety. His work focuses on integrating large language models into autonomous systems, particularly for law enforcement and security applications. Yuan’s most cited paper, “Automatic analysis of alarm embedded with large language model in police robot” (2025), explores how AI-powered robots can interpret complex alarm signals in real time, enhancing situational awareness and decision-making for police officers in high-risk environments. This contribution addresses critical challenges in human-robot interaction and emergency response, aiming to improve both operational efficiency and officer safety. While his research is still emerging, with early citations reflecting growing interest, Yuan’s work signals a promising direction for the deployment of intelligent systems in public safety. His achievements include advancing the practical application of LLMs beyond text-based tasks into embodied, real-world scenarios. For students and researchers, Yuan’s work offers a compelling glimpse into how AI and robotics can be responsibly harnessed to support frontline professionals and maintain social stability.
Research Focus
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Top Papers
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