Yuhan Yuan

Shanghai Jinyuan Senior High School, Dalian University of Technology

Papers

Total Citations

H-Index

About

Yuhan Yuan is a rising researcher at the forefront of intelligent robotics and predictive maintenance, with a focus on aerial robots and industrial automation. Their work centers on developing advanced control systems and deep learning architectures to enhance robot reliability and operational intelligence. Yuan’s most cited paper, "Research on the Intelligent Control System of Aerial Robots" (2024), introduces novel approaches for autonomous flight and adaptive control, laying groundwork for safer, more efficient unmanned aerial systems. Building on this, their 2025 study on remaining useful life prediction for harmonic reducers in industrial robots demonstrates a pioneering use of in-situ current signals and lightweight multiscale attention deep networks—a method that balances accuracy with computational efficiency, critical for real-time industrial applications. Though early in their career, Yuan’s work has already garnered citations, signaling growing recognition in the robotics and prognostics communities. Their contributions promise to bridge the gap between theoretical AI and practical robot longevity, with potential impacts on manufacturing, logistics, and autonomous systems. As Yuan continues to publish, their research is poised to influence next-generation intelligent control and predictive maintenance strategies.