Xuepeng Liu
Papers
1
Total Citations
11
H-Index
1
About
Xuepeng Liu is a researcher advancing the frontiers of digital twin technology and intelligent manufacturing systems. His work centers on developing data-driven architectures for real-time monitoring, failure prediction, and operational optimization of industrial robotics. Liu’s most notable contribution is his pioneering digital twin framework for customized automatic transverse robots, which play a critical role in transporting heavy printing material rolls within flexible packaging workshops. By integrating 3D real-time visualization with predictive analytics, his system enables proactive failure detection and feedback, significantly enhancing reliability and efficiency in automated production lines. This work, published in 2024, has already garnered 11 citations, reflecting its timely relevance to Industry 4.0 and smart manufacturing. Liu’s research bridges the gap between physical robotic systems and their virtual counterparts, offering practical solutions for customized automation challenges. His achievements underscore a commitment to transforming industrial operations through cutting-edge simulation, monitoring, and data-driven decision-making—making his work essential reading for engineers and researchers in robotics, digital twins, and intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
- 1