Multi Agent Switching Mode Controller for Sound Source localization
By: Marcello Sorge , Nicola Cigarini , Riccardo Lorigiola and more
Potential Business Impact:
Robots find hidden sounds using many robots.
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.
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