Lorenzo Sforni
Papers
1
Total Citations
5
H-Index
1
About
Lorenzo Sforni is a researcher at the forefront of distributed control and multi-robot systems, with a focus on online optimization for cooperative autonomy. His work bridges theoretical advances in distributed aggregative optimization with practical applications in robotic surveillance and security. In his most-cited paper, "A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance" (2023, 5 citations), Sforni introduces a novel algorithm that enables a team of defending robots to collaboratively protect a target from intruders. By framing the defenders' strategy as a distributed online optimization problem—inspired by emerging aggregative frameworks—he provides a scalable, real-time solution that adapts to dynamic threats without requiring centralized coordination. This contribution is particularly impactful for autonomous security systems, where robustness and adaptability are critical. Sforni’s work is recognized for its clarity in linking theoretical optimization methods to tangible robotic tasks, making it a valuable reference for researchers in control theory, robotics, and multi-agent systems. His ongoing research continues to advance the frontiers of distributed decision-making under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1