About

Enrico Natalizio is a prominent researcher at the intersection of unmanned aerial vehicles (UAVs), wireless networking, and autonomous robotic systems. His work spans several interconnected domains, including UAV routing optimization, multi-robot cooperative exploration, swarm intelligence, and next-generation cellular connectivity for aerial platforms. Natalizio's most impactful contribution — a 2020 survey on cellular-connected UAVs and 5G/B5G innovations (154 citations) — has become a foundational reference for researchers navigating the rapidly evolving landscape of aerial robotics and mobile communications. His 2013 work on multi-objective UAV routing with soft time window constraints (138 citations) demonstrated sophisticated algorithmic thinking applied to real-world drone deployment challenges. Beyond connectivity, he has made notable strides in cooperative SLAM-based exploration, swarm coverage algorithms, and edge AI for resource-constrained nano-drones, as evidenced by his work on Tiny-PULP-Dronets squeezing neural networks onto autonomous platforms. Natalizio's research consistently bridges theoretical modeling and practical implementation — from filming sporting events with camera drones to deploying IoT devices with beyond-connectivity capabilities in 5G architectures. His broad citation record reflects sustained influence across robotics, networking, and computer vision communities, making him a versatile and forward-thinking contributor to modern autonomous systems research.

Research Focus

Key Achievements

14
H-Index
22
Papers
618
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
A Survey on Cellular-connected UAVs: Design Challenges, Enabling 5G/B5G\n Innovations, and Experimental Advancements
154 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Technology Innovation Institute, Université de Technologie de Compiègne, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Sorbonne Université, Heuristics and Diagnostics for Complex Systems

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago