Multi-USV Adaptive Exploration Using Kernel Information and Residual Variance.
Gaussian process
field validated
freshwater analysis
informative path planning
multi-robot systems
sampling hotspots
Journal
Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350
Informations de publication
Date de publication:
2021
2021
Historique:
received:
13
06
2020
accepted:
25
03
2021
entrez:
14
6
2021
pubmed:
15
6
2021
medline:
15
6
2021
Statut:
epublish
Résumé
Using a team of robots for estimating scalar environmental fields is an emerging approach. The aim of such an approach is to reduce the mission time for collecting informative data as compared to a single robot. However, increasing the number of robots requires coordination and efficient use of the mission time to provide a good approximation of the scalar field. We suggest an online multi-robot framework
Identifiants
pubmed: 34124169
doi: 10.3389/frobt.2021.572243
pmc: PMC8194496
doi:
Types de publication
Journal Article
Langues
eng
Pagination
572243Informations de copyright
Copyright © 2021 Mishra, Koay, Chitre and Swarup.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
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