Angelo Trotta
Papers
6
Total Citations
86
H-Index
4
About
Angelo Trotta is a leading researcher at the intersection of autonomous drone swarms, the Internet of Things (IoT), and resilient networked systems. His work focuses on designing intelligent, decentralized coordination algorithms that allow swarms of Unmanned Aerial Vehicles (UAVs) to operate without GPS, making them invaluable in disaster-recovery and search-and-rescue scenarios. His most cited work, a GPS-free flocking model for aerial mesh deployments (40 citations), tackles the critical challenge of maintaining communication in emergency zones. Trotta has also pioneered the use of drone swarms for maritime search and rescue, addressing the humanitarian crisis in the Mediterranean. Beyond mobility, his contributions extend to the digital realm with "WoTwins," an automatic digital twin generator for the Web of Things (7 citations), and the "CUSCUS" simulator (16 citations), a vital tool for testing distributed control systems. His practical impact is further demonstrated through test-bed implementations for autonomic faulty node replacement in UAV-assisted wireless sensor networks. By combining theoretical models with robust software frameworks like "Uhura," Trotta is shaping a future where autonomous robotic networks can reliably operate in the world’s most challenging environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Intelligent Drone Swarm for Search and Rescue Operations at Sea18 citations · 2018
- 3
- 4WoTwins: Automatic Digital Twin Generator for the Web of Things7 citations · 2022
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- 6