A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring

This paper presents the technological developments and the policy contexts for the project “Autonomous Robotic Sea-Floor Infrastructure for Bentho-Pelagic Monitoring” (ARIM). The development is based on the national experience with robotic component technologies that are combined and merged into a n...

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Published in:Sensors
Main Authors: Jacopo Aguzzi, Jan Albiez, Sascha Flögel, Olav Rune Godø, Endre Grimsbø, Simone Marini, Olaf Pfannkuche, Erik Rodriguez, Laurenz Thomsen, Terje Torkelsen, Javier Valencia, Vanesa López-Vázquez, Henning Wehde, Guosong Zhang
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
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Online Access:https://doi.org/10.3390/s20061614
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spelling ftmdpi:oai:mdpi.com:/1424-8220/20/6/1614/ 2023-08-20T04:07:53+02:00 A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring Jacopo Aguzzi Jan Albiez Sascha Flögel Olav Rune Godø Endre Grimsbø Simone Marini Olaf Pfannkuche Erik Rodriguez Laurenz Thomsen Terje Torkelsen Javier Valencia Vanesa López-Vázquez Henning Wehde Guosong Zhang 2020-03-13 application/pdf https://doi.org/10.3390/s20061614 EN eng Multidisciplinary Digital Publishing Institute Intelligent Sensors https://dx.doi.org/10.3390/s20061614 https://creativecommons.org/licenses/by/4.0/ Sensors; Volume 20; Issue 6; Pages: 1614 benthic and pelagic monitoring image processing acoustics crawler docking station cabled observatories fuel cells ecosystem component classification Text 2020 ftmdpi https://doi.org/10.3390/s20061614 2023-07-31T23:14:12Z This paper presents the technological developments and the policy contexts for the project “Autonomous Robotic Sea-Floor Infrastructure for Bentho-Pelagic Monitoring” (ARIM). The development is based on the national experience with robotic component technologies that are combined and merged into a new product for autonomous and integrated ecological deep-sea monitoring. Traditional monitoring is often vessel-based and thus resource demanding. It is economically unviable to fulfill the current policy for ecosystem monitoring with traditional approaches. Thus, this project developed platforms for bentho-pelagic monitoring using an arrangement of crawler and stationary platforms at the Lofoten-Vesterålen (LoVe) observatory network (Norway). Visual and acoustic imaging along with standard oceanographic sensors have been combined to support advanced and continuous spatial-temporal monitoring near cold water coral mounds. Just as important is the automatic processing techniques under development that have been implemented to allow species (or categories of species) quantification (i.e., tracking and classification). At the same time, real-time outboard processed three-dimensional (3D) laser scanning has been implemented to increase mission autonomy capability, delivering quantifiable information on habitat features (i.e., for seascape approaches). The first version of platform autonomy has already been tested under controlled conditions with a tethered crawler exploring the vicinity of a cabled stationary instrumented garage. Our vision is that elimination of the tether in combination with inductive battery recharge trough fuel cell technology will facilitate self-sustained long-term autonomous operations over large areas, serving not only the needs of science, but also sub-sea industries like subsea oil and gas, and mining. Text Lofoten Vesterålen MDPI Open Access Publishing Lofoten Norway Vesterålen ENVELOPE(14.939,14.939,68.754,68.754) Sensors 20 6 1614
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic benthic and pelagic monitoring
image processing
acoustics
crawler
docking station
cabled observatories
fuel cells
ecosystem component classification
spellingShingle benthic and pelagic monitoring
image processing
acoustics
crawler
docking station
cabled observatories
fuel cells
ecosystem component classification
Jacopo Aguzzi
Jan Albiez
Sascha Flögel
Olav Rune Godø
Endre Grimsbø
Simone Marini
Olaf Pfannkuche
Erik Rodriguez
Laurenz Thomsen
Terje Torkelsen
Javier Valencia
Vanesa López-Vázquez
Henning Wehde
Guosong Zhang
A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring
topic_facet benthic and pelagic monitoring
image processing
acoustics
crawler
docking station
cabled observatories
fuel cells
ecosystem component classification
description This paper presents the technological developments and the policy contexts for the project “Autonomous Robotic Sea-Floor Infrastructure for Bentho-Pelagic Monitoring” (ARIM). The development is based on the national experience with robotic component technologies that are combined and merged into a new product for autonomous and integrated ecological deep-sea monitoring. Traditional monitoring is often vessel-based and thus resource demanding. It is economically unviable to fulfill the current policy for ecosystem monitoring with traditional approaches. Thus, this project developed platforms for bentho-pelagic monitoring using an arrangement of crawler and stationary platforms at the Lofoten-Vesterålen (LoVe) observatory network (Norway). Visual and acoustic imaging along with standard oceanographic sensors have been combined to support advanced and continuous spatial-temporal monitoring near cold water coral mounds. Just as important is the automatic processing techniques under development that have been implemented to allow species (or categories of species) quantification (i.e., tracking and classification). At the same time, real-time outboard processed three-dimensional (3D) laser scanning has been implemented to increase mission autonomy capability, delivering quantifiable information on habitat features (i.e., for seascape approaches). The first version of platform autonomy has already been tested under controlled conditions with a tethered crawler exploring the vicinity of a cabled stationary instrumented garage. Our vision is that elimination of the tether in combination with inductive battery recharge trough fuel cell technology will facilitate self-sustained long-term autonomous operations over large areas, serving not only the needs of science, but also sub-sea industries like subsea oil and gas, and mining.
format Text
author Jacopo Aguzzi
Jan Albiez
Sascha Flögel
Olav Rune Godø
Endre Grimsbø
Simone Marini
Olaf Pfannkuche
Erik Rodriguez
Laurenz Thomsen
Terje Torkelsen
Javier Valencia
Vanesa López-Vázquez
Henning Wehde
Guosong Zhang
author_facet Jacopo Aguzzi
Jan Albiez
Sascha Flögel
Olav Rune Godø
Endre Grimsbø
Simone Marini
Olaf Pfannkuche
Erik Rodriguez
Laurenz Thomsen
Terje Torkelsen
Javier Valencia
Vanesa López-Vázquez
Henning Wehde
Guosong Zhang
author_sort Jacopo Aguzzi
title A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring
title_short A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring
title_full A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring
title_fullStr A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring
title_full_unstemmed A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring
title_sort flexible autonomous robotic observatory infrastructure for bentho-pelagic monitoring
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/s20061614
long_lat ENVELOPE(14.939,14.939,68.754,68.754)
geographic Lofoten
Norway
Vesterålen
geographic_facet Lofoten
Norway
Vesterålen
genre Lofoten
Vesterålen
genre_facet Lofoten
Vesterålen
op_source Sensors; Volume 20; Issue 6; Pages: 1614
op_relation Intelligent Sensors
https://dx.doi.org/10.3390/s20061614
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/s20061614
container_title Sensors
container_volume 20
container_issue 6
container_start_page 1614
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