Luigi Girletti

Universidad Carlos III de Madrid

Papers

1

Total Citations

52

H-Index

1

About

Luigi Girletti is a leading researcher at the intersection of robotics, edge computing, and digital twin technology, with a strong focus on enabling the next generation of intelligent automation for Industry 4.0. His most-cited work, "An Intelligent Edge-based Digital Twin for Robotics" (2020, 52 citations), pioneers a novel architecture that brings real-time digital twin capabilities directly to the network edge. This approach overcomes the latency and bandwidth limitations of cloud-based systems, allowing for enhanced automation, remote control, and real-time synchronization between physical robots and their virtual counterparts. By decentralizing intelligence, Girletti’s contributions are foundational to creating more responsive, resilient, and scalable robotic systems. His research directly addresses the core challenges of the fourth industrial revolution, demonstrating how edge-based digital twins can transform manufacturing, logistics, and remote operations. Through this work, Girletti has established himself as a key innovator in making advanced cyber-physical systems practical and deployable, with his highly cited paper serving as a critical reference for researchers and engineers building the factories of the future.

Research Focus

Key Achievements

1
H-Index
1
Papers
52
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
An Intelligent Edge-based Digital Twin for Robotics
52 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universidad Carlos III de Madrid

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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