Bolin Li

Chang Gung University

Papers

1

Total Citations

2

H-Index

1

About

Bolin Li is a researcher at the forefront of industrial automation and intelligent maintenance systems. His work centers on integrating advanced robotics and smart sensing technologies to transform traditional manufacturing into predictive, data-driven operations. Li’s most notable contribution is the development of a Robot-Operation-System-based Smart Machine Box, a modular platform that enables real-time equipment monitoring and fault prediction. This innovation directly addresses the inefficiencies of reactive maintenance by leveraging data analytics to forecast machinery failures before they occur, significantly reducing downtime and operational costs. While his seminal 2023 paper has garnered early attention with 2 citations, it represents a foundational step toward scalable, cost-effective predictive maintenance solutions for smart factories. Li’s research bridges the gap between theoretical robotics and practical industrial applications, offering a blueprint for the next generation of autonomous manufacturing systems. His work is particularly relevant for engineers and researchers seeking to implement Industry 4.0 principles in real-world environments, making him a rising voice in the field of cyber-physical production systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Robot-Operation-System-Based Smart Machine Box and Its Application on Predictive Maintenance
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Chang Gung University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago