Matteo Santilli
Papers
7
Total Citations
94
H-Index
5
About
Matteo Santilli’s research lies at the intersection of multi-robot coordination, resilient control, and precision agriculture, with a particular focus on systems constrained by limited fields of view (FOV). His most impactful work, “Dynamic Resilient Containment Control in Multirobot Systems” (2021, 37 citations), addresses the challenge of driving a team of follower robots into a region bounded by leader robots, even under adversarial conditions—a critical capability for secure and robust swarm operations. Santilli has also pioneered methods for stable coordination in asymmetrically interacting robot teams, where FOV limitations create directional dependencies. His 2022 paper on “Multirobot Field of View Control With Adaptive Decentralization” (21 citations) introduces adaptive protocols that enable robots to autonomously adjust their interactions for cohesive motion. Beyond theory, Santilli bridges to application: his 2023 work on an autonomous spraying robot for hazelnut orchards (14 citations) demonstrates how multi-robot coordination principles can solve real-world agricultural tasks like per-plant sucker management. His portfolio also includes foundational contributions to optimal topology selection for stable coordination and distributed attack-resilient control. With over 90 total citations across his core papers, Santilli is establishing himself as a key figure in making multi-robot systems both intelligent and dependable in the field.
Research Focus
Key Achievements
Top Papers
- 1Dynamic Resilient Containment Control in Multirobot Systems37 citations · 2021
- 2Multirobot Field of View Control With Adaptive Decentralization21 citations · 2022
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