Laurent Dala

Northumbria University

Papers

4

Total Citations

62

H-Index

4

About

Laurent Dala is a researcher whose work sits at the dynamic intersection of autonomous systems, unmanned aerial vehicles (UAVs), and networked cooperative control. His research has made meaningful contributions to some of the most pressing challenges in modern robotics and autonomous systems engineering, particularly in the areas of multi-UAV coordination, swarm intelligence, and cyber-physical security. Dala's most influential work focuses on enabling UAVs to operate collaboratively and autonomously in complex, real-world scenarios. His 2018 paper on quadrotor swarm control under leader-follower formation architectures, which has garnered 24 citations, laid important groundwork for scalable multi-robot trajectory tracking — a foundational capability for coordinated aerial missions. Building on this, his subsequent research explored fully autonomous search and rescue (SAR) systems using quadrotor UAVs, demonstrating how autonomous flight technology can replace or assist humans in life-critical operations such as disaster response and surveillance. Beyond UAVs, Dala has also addressed cybersecurity challenges in cooperative networked systems, proposing distributed observer-based schemes capable of identifying cyber-attacks under dynamic communication topologies. Across his portfolio, his research reflects a consistent commitment to making autonomous systems more robust, intelligent, and deployable in high-stakes environments.

Research Focus

Key Achievements

4
H-Index
4
Papers
62
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Quadrotors UAVs Swarming Control Under Leader-Followers Formation
24 citations · 2018
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Northumbria University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago