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A System for Autonomous Seaweed Farm Inspection with an Underwater Robot
This paper outlines challenges and opportunities in operating underwater robots (so-called AUVs) on a seaweed farm. The need is driven by an emerging aquaculture industry on the Swedish west coast where large-scale seaweed farms are being developed. In this paper, the operational challenges are desc...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269778/ https://www.ncbi.nlm.nih.gov/pubmed/35808560 http://dx.doi.org/10.3390/s22135064 |
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author | Stenius, Ivan Folkesson, John Bhat, Sriharsha Sprague, Christopher Iliffe Ling, Li Özkahraman, Özer Bore, Nils Cong, Zheng Severholt, Josefine Ljung, Carl Arnwald, Anna Torroba, Ignacio Gröndahl, Fredrik Thomas, Jean-Baptiste |
author_facet | Stenius, Ivan Folkesson, John Bhat, Sriharsha Sprague, Christopher Iliffe Ling, Li Özkahraman, Özer Bore, Nils Cong, Zheng Severholt, Josefine Ljung, Carl Arnwald, Anna Torroba, Ignacio Gröndahl, Fredrik Thomas, Jean-Baptiste |
author_sort | Stenius, Ivan |
collection | PubMed |
description | This paper outlines challenges and opportunities in operating underwater robots (so-called AUVs) on a seaweed farm. The need is driven by an emerging aquaculture industry on the Swedish west coast where large-scale seaweed farms are being developed. In this paper, the operational challenges are described and key technologies in using autonomous systems as a core part of the operation are developed and demonstrated. The paper presents a system and methods for operating an AUV in the seaweed farm, including initial localization of the farm based on a prior estimate and dead-reckoning navigation, and the subsequent scanning of the entire farm. Critical data from sidescan sonars for algorithm development are collected from real environments at a test site in the ocean, and the results are demonstrated in a simulated seaweed farm setup. |
format | Online Article Text |
id | pubmed-9269778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92697782022-07-09 A System for Autonomous Seaweed Farm Inspection with an Underwater Robot Stenius, Ivan Folkesson, John Bhat, Sriharsha Sprague, Christopher Iliffe Ling, Li Özkahraman, Özer Bore, Nils Cong, Zheng Severholt, Josefine Ljung, Carl Arnwald, Anna Torroba, Ignacio Gröndahl, Fredrik Thomas, Jean-Baptiste Sensors (Basel) Communication This paper outlines challenges and opportunities in operating underwater robots (so-called AUVs) on a seaweed farm. The need is driven by an emerging aquaculture industry on the Swedish west coast where large-scale seaweed farms are being developed. In this paper, the operational challenges are described and key technologies in using autonomous systems as a core part of the operation are developed and demonstrated. The paper presents a system and methods for operating an AUV in the seaweed farm, including initial localization of the farm based on a prior estimate and dead-reckoning navigation, and the subsequent scanning of the entire farm. Critical data from sidescan sonars for algorithm development are collected from real environments at a test site in the ocean, and the results are demonstrated in a simulated seaweed farm setup. MDPI 2022-07-05 /pmc/articles/PMC9269778/ /pubmed/35808560 http://dx.doi.org/10.3390/s22135064 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Stenius, Ivan Folkesson, John Bhat, Sriharsha Sprague, Christopher Iliffe Ling, Li Özkahraman, Özer Bore, Nils Cong, Zheng Severholt, Josefine Ljung, Carl Arnwald, Anna Torroba, Ignacio Gröndahl, Fredrik Thomas, Jean-Baptiste A System for Autonomous Seaweed Farm Inspection with an Underwater Robot |
title | A System for Autonomous Seaweed Farm Inspection with an Underwater Robot |
title_full | A System for Autonomous Seaweed Farm Inspection with an Underwater Robot |
title_fullStr | A System for Autonomous Seaweed Farm Inspection with an Underwater Robot |
title_full_unstemmed | A System for Autonomous Seaweed Farm Inspection with an Underwater Robot |
title_short | A System for Autonomous Seaweed Farm Inspection with an Underwater Robot |
title_sort | system for autonomous seaweed farm inspection with an underwater robot |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269778/ https://www.ncbi.nlm.nih.gov/pubmed/35808560 http://dx.doi.org/10.3390/s22135064 |
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