Papers

3

Total Citations

23

H-Index

3

About

Davide Aguiari is a researcher at the forefront of autonomous systems, specializing in the intersection of edge-to-cloud computing, distributed AI, and high-speed robotics. His work is defined by a drive to push autonomous machines—from self-driving cars to agile drones—beyond the lab and into real-world, high-stakes environments. Aguiari’s major contributions include pioneering deep reinforcement learning for autonomous driving using 3D-LiDAR point clouds, a foundational approach for enabling robots to perceive and navigate complex spaces. He also leads the creation of open, high-impact benchmarks, such as the "Race Against the Machine" dataset for autonomous drone racing, which provides fully-annotated, real-world flight data to accelerate research in high-speed aerial navigation. His work on the C-Continuum framework addresses the critical challenge of distributing AI workloads across edge and cloud resources, enabling more responsive and scalable autonomous systems. With each of his most-cited papers garnering 7–8 citations in a rapidly evolving field, Aguiari’s research is shaping the next generation of intelligent, autonomous machines that will operate safely and efficiently in our world.

Research Focus

Key Achievements

3
H-Index
3
Papers
23
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Enabling deep reinforcement learning autonomous driving by 3D-LiDAR point clouds
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Macao Polytechnic University, Technology Innovation Institute, University of Cagliari

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago