Leticia Curiel Herrera

Universidad de Burgos

Papers

1

Total Citations

18

H-Index

1

About

Leticia Curiel Herrera is a leading researcher in intelligent manufacturing and industrial automation, with a focus on integrating artificial intelligence into real-world production processes. Her most-cited work, "The application of a two-step AI model to an automated pneumatic drilling process" (2009, 18 citations), exemplifies her pioneering approach to bridging computational intelligence and mechanical engineering. In this study, she developed a novel methodology that combines unsupervised connectionist models with advanced system identification techniques, enabling more precise and adaptive control of pneumatic drilling operations. This multidisciplinary contribution demonstrates how AI can optimize complex industrial tasks, reducing errors and improving efficiency. Her research has laid foundational groundwork for the broader adoption of machine learning in manufacturing environments, influencing subsequent work in automated process control and cyber-physical production systems. Curiel Herrera’s ability to translate theoretical AI models into practical engineering solutions marks her as a key figure in the evolution of smart manufacturing, where data-driven decision-making enhances traditional mechanical processes. Her work continues to inspire researchers seeking to apply artificial intelligence to tangible industrial challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
The application of a two-step AI model to an automated pneumatic drilling process
18 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universidad de Burgos

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago