Luca Mottola
Papers
4
Total Citations
79
H-Index
3
About
Luca Mottola is a leading researcher at the intersection of embedded systems, wireless sensor networks, and robotics, with a particular focus on advancing autonomous aerial platforms. His work addresses fundamental challenges in drone technology, from low-level control systems to high-level programming abstractions. Mottola’s most influential contribution is his pioneering work on reactive control for autonomous drones (2016, 52 citations), which challenged the prevailing time-triggered paradigm by proposing event-driven approaches for more responsive and efficient aerial robot behavior. He further advanced the field through model-based real-time testing of drone autopilots (2016, 17 citations), highlighting critical timing aspects often overlooked in simulation-based verification. More recently, Mottola introduced BEAVIS (Balloon Enabled Aerial Vehicle for IoT and Sensing, 2023, 8 citations), a novel hybrid platform that achieves an unprecedented trade-off between drone maneuverability and blimp-like endurance. His ongoing work on spatial macroprogramming for robot swarms (2013) promises to simplify the programming of coordinated sensing and actuation across multiple aerial robots. Through these contributions, Mottola has established himself as a key innovator in making autonomous drones more reliable, longer-lasting, and easier to program for real-world IoT and sensing applications.
Research Focus
Key Achievements
Top Papers
- 1Reactive Control of Autonomous Drones52 citations · 2016
- 2Model-based Real-time Testing of Drone Autopilots17 citations · 2016
- 3BEAVIS: Balloon Enabled Aerial Vehicle for IoT and Sensing8 citations · 2023
- 4Towards spatial macroprogramming for sensing and actuating robot swarms2 citations · 2013