Papers
5
Total Citations
248
H-Index
4
About
Dr. Enrica Soria is a leading researcher in aerial robotics, specializing in the autonomous control and coordination of drone swarms. Her work addresses a critical challenge: enabling large groups of flying robots to navigate safely and cohesively through complex, cluttered environments where obstacles are dense and unknown. Dr. Soria’s major contribution lies in developing predictive and distributed control algorithms that allow each drone to make decisions based only on local information from its neighbors, eliminating the need for centralized communication. Her most influential paper, “Predictive control of aerial swarms in cluttered environments” (2021), has garnered over 160 citations, establishing a foundational framework for swarm flight in real-world settings. She further advanced the field with “Distributed Predictive Drone Swarms in Cluttered Environments” (2021, 65 citations) and a recent optimal planning algorithm enabling autonomous exploration of unknown environments (2022). To accelerate research, Dr. Soria also created SwarmLab, an open-source MATLAB simulator that simplifies algorithm prototyping and testing. Her work is pivotal for applications in search-and-rescue, environmental monitoring, and infrastructure inspection, where resilient, decentralized swarms are essential.
Research Focus
Key Achievements
Top Papers
- 1Predictive control of aerial swarms in cluttered environments160 citations · 2021
- 2Distributed Predictive Drone Swarms in Cluttered Environments65 citations · 2021
- 3Swarms of flying robots in unknown environments13 citations · 2022
- 4SwarmLab: a Matlab Drone Swarm Simulator6 citations · 2020
- 5Predictive Control of Aerial Swarms in Cluttered Environments4 citations · 2020