Matteo Santilli — accepted AI-conference papers

2022

Distributed Adaptive and Resilient Control of Multi-Robot Systems With Limited Field of View Interactions

Pratik Mukherjee, Matteo Santilli, Andrea Gasparri, Ryan K. Williams

RA-L 2022

In this paper, we consider two coupled problems for distributed multi-robot systems (MRSs) coordinating with on-board sensors: emph{rejection of sensor attacks and adaptive tuning of interaction gains}. First, MRSs with on-board sensors can be more susceptible to sensor attacks, and therefore must b

Cited by 7 Source ↗Scholar ↗

2020

Optimal Topology Selection for Stable Coordination of Asymmetrically Interacting Multi-Robot Systems

Pratik Mukherjee, Matteo Santilli, Andrea Gasparri, Ryan K. Williams

ICRA 2020poster

In this paper, we address the problem of optimal topology selection for stable coordination of multi-robot systems with asymmetric interactions. This problem arises naturally for multi-robot systems that interact based on sensing, e.g., with limited field of view (FOV) cameras. From our previous eff…

Cited by 10 Source ↗Scholar ↗