D. Theilliol
Papers
2
Total Citations
10
H-Index
2
About
D. Theilliol is a leading researcher in the field of autonomous multi-agent systems, with a primary focus on the robust control and coordination of unmanned aerial vehicle (UAV) fleets. His work centers on developing advanced control strategies that enable groups of autonomous agents to operate reliably, even in challenging or degraded conditions. A key contribution is his research on virtual leader-based control, which allows a fleet of quadrotors to execute complex, predefined missions while maintaining formation and avoiding collisions. This foundational work, detailed in his 2015 paper on UAV team flight training, has garnered 8 citations and established a framework for coordinated flight. Theilliol further advances the field by addressing the critical issue of robustness, designing control algorithms that maintain flocking behavior even when sensor measurements are inaccurate or system faults occur. His 2016 paper on robust flocking control, with 2 citations, tackles these real-world limitations, ensuring that autonomous fleets can perform effectively outside of ideal laboratory conditions. Through these contributions, Theilliol is shaping the future of resilient, cooperative robotics, making his research essential for students and engineers working on the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust flocking control design for a fleet of autonomous agents2 citations · 2016