Federico Civerchia

Scuola Superiore Sant'Anna

Papers

1

Total Citations

12

H-Index

1

About

Federico Civerchia is a researcher at the forefront of edge computing, 5G networks, and artificial intelligence, with a focus on enabling real-time, low-latency control for autonomous systems. His most-cited work, "Remote Control of a Robot Rover Combining 5G, AI, and GPU Image Processing at the Edge" (2020, 12 citations), demonstrates a groundbreaking integration of these technologies to achieve seamless remote operation. In this study, Civerchia and his team successfully used 5G connectivity, AI-driven decision-making, and GPU-accelerated image processing at the network edge to guide a robot rover through a slalom course. This achievement highlights his major contribution: proving that edge-based AI can overcome the latency challenges of cloud-dependent systems, making remote control viable for time-critical applications like autonomous vehicles and industrial robotics. Civerchia’s work is notable for its practical, hands-on approach, bridging theoretical advances in 5G and edge AI with real-world deployment. His research continues to inspire innovations in low-latency, intelligent control systems, positioning him as a key figure in the evolution of next-generation networked robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Remote Control of a Robot Rover Combining 5G, AI, and GPU Image Processing at the Edge
12 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Scuola Superiore Sant'Anna

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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