Jiyou Fei

Papers

Total Citations

H-Index

About

Jiyou Fei is a robotics researcher whose work spans predictive maintenance, remote interaction, and autonomous navigation. His most cited paper, "Construction of Mining Robot Equipment Fault Prediction Model Based on Deep Learning" (2024, 5 citations), introduces the LODS model—a novel fusion of LSTM, deep neural networks, and spatiotemporal attention mechanisms—to overcome limitations in traditional fault prediction for mining robots. This work demonstrates Fei’s focus on applying deep learning to enhance the reliability and intelligence of industrial robotic systems. In "Remote-control Real-time Video Interactive Robot" (2021, 2 citations), he developed a system using an ARM Cortex-A53 processor and an improved PID algorithm for precise Mecanum wheel control, enabling real-time video-based teleoperation. Earlier, his "Design of the Optimal Path Algorithm for Line Track Robots" (2009, 2 citations) established a path-optimization algorithm validated through experiments, reflecting his long-standing interest in efficient autonomous navigation. Though his citation counts are modest, Fei’s contributions are notable for integrating advanced AI with practical robotics, particularly in challenging industrial environments. His work offers valuable insights for researchers in deep learning-driven fault diagnosis and real-time robotic control.