Multi Agent Switching Mode Controller for Sound Source localization
Sorge, Marcello, Cigarini, Nicola, Lorigiola, Riccardo, Michieletto, Giulia, Masiero, Andrea, Cenedese, Angelo, Guarnieri, Alberto
–arXiv.org Artificial Intelligence
Source seeking is an important topic in robotic research, especially considering sound-based sensors since they allow the agents to locate a target even in critical conditions where it is not possible to establish a direct line of sight. In this work, we design a multi- agent switching mode control strategy for acoustic-based target localization. Two scenarios are considered: single source localization, in which the agents are driven maintaining a rigid formation towards the target, and multi-source scenario, in which each agent searches for the targets independently from the others.
arXiv.org Artificial Intelligence
Oct-17-2025