Collective Odor Source Estimation and Search in Time-Variant Airflow Environments Using Mobile Robots

This paper addresses the collective odor source localization (OSL) problem in a time-varying airflow environment using mobile robots. A novel OSL methodology which combines odor-source probability estimation and multiple robots’ search is proposed. The estimation phase consists of two steps: firstly...

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Detalles Bibliográficos
Autores principales: Meng, Qing-Hao, Yang, Wei-Xing, Wang, Yang, Zeng, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274292/
https://www.ncbi.nlm.nih.gov/pubmed/22346650
http://dx.doi.org/10.3390/s111110415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274292/
https://www.ncbi.nlm.nih.gov/pubmed/22346650
http://dx.doi.org/10.3390/s111110415

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