David Lanas

Universidad de las Fuerzas Armadas ESPE

Papers

2

Total Citations

19

H-Index

2

About

David Lanas is a researcher specializing in Cyber-Physical Production Systems (CPPS), industrial automation, and robotics control, with a focus on bridging the gap between modern manufacturing demands and emerging digital technologies. His work addresses one of the most pressing challenges in contemporary industrial engineering: the transition from rigid, traditional production lines to flexible, modular manufacturing environments capable of adapting to dynamic market needs. Lanas's most recognized contribution, "An Approach of Cyber-Physical Production Systems Architecture for Robot Control" (2018, 13 citations), proposes innovative architectural frameworks that leverage high-processing controllers and advanced communication protocols to enable more agile industrial operations. Complementing this, his follow-up work on low-cost CPPS solutions under the IEC 61499 standard (2018, 6 citations) demonstrates a practical commitment to accessibility and real-world applicability, offering enterprises affordable pathways to integrate robotic systems into their production processes without sacrificing performance or modularity. What distinguishes Lanas's research is its dual emphasis on theoretical architecture and cost-conscious implementation, making his findings particularly valuable to both industry professionals and students exploring Industry 4.0 technologies. His contributions provide a meaningful foundation for understanding how intelligent, interconnected systems can reshape the future of smart manufacturing.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
An Approach of Cyber-Physical Production Systems Architecture for Robot Control
13 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Universidad de las Fuerzas Armadas ESPE

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago