Odor source localization of multi-robots with swarm intelligence algorithms: A review

Odor source localization of multi-robots with swarm intelligence algorithms: A review

The use of robot swarms for odor source localization (OSL) can better adapt to the reality of unstable turbulence and find chemical contamination or hazard sources faster. Inspired by the collective behavior in nature, swarm intelligence (SI) is recognized as an appropriate algorithm framework for m...

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Bibliographic Details
Main Authors:	Junhan Wang, Yuezhang Lin, Ruirui Liu, Jun Fu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-11-01
Series:	Frontiers in Neurorobotics
Subjects:	odor source localization swarm intelligence algorithm multi-robot system particle swarm optimization mobile robot nature-inspired computation
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2022.949888/full

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