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...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/6/1614 |
| _version_ | 1811262487291494400 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-12T19:26:25Z |
| format | Article |
| id | doaj.art-7ea3b6b28aa24ae7831fe8ab498852c2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-12T19:26:25Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7ea3b6b28aa24ae7831fe8ab498852c22022-12-22T03:19:28ZengMDPI AGSensors1424-82202020-03-01206161410.3390/s20061614s20061614A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic MonitoringJacopo Aguzzi0Jan Albiez1Sascha Flögel2Olav Rune Godø3Endre Grimsbø4Simone Marini5Olaf Pfannkuche6Erik Rodriguez7Laurenz Thomsen8Terje Torkelsen9Javier Valencia10Vanesa López-Vázquez11Henning Wehde12Guosong Zhang13Instituto de Ciencias del Mar (ICM-CSIC), E-08003 Barcelona, SpainKraken Robotik, 28197 Bremen, GermanyGEOMAR, Helmholtz Centre for Ocean Research Kiel, 24148 Kiel, GermanyMetas AS, N-5106 Bergen, NorwayInstitute of Marine Research, N-5817 Bergen, NorwayCNR-ISMAR, 19032 La Spezia, ItalyiSeaMC, 28759 Bremen, GermanyDS LABS, 01015 Vitoria-Gasteiz, SpainiSeaMC, 28759 Bremen, GermanyMetas AS, N-5106 Bergen, NorwayDeusto Sistemas, E-01015 Vitoria-Gasteiz, SpainDS LABS, 01015 Vitoria-Gasteiz, SpainInstitute of Marine Research, N-5817 Bergen, NorwayInstitute of Marine Research, N-5817 Bergen, NorwayThis 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.https://www.mdpi.com/1424-8220/20/6/1614benthic and pelagic monitoringimage processingacousticscrawlerdocking stationcabled observatoriesfuel cellsecosystem component classification |
| spellingShingle | 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 Sensors benthic and pelagic monitoring image processing acoustics crawler docking station cabled observatories fuel cells ecosystem component classification |
| title | 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_short | A Flexible Autonomous Robotic Observatory Infrastructure for Bentho-Pelagic Monitoring |
| title_sort | flexible autonomous robotic observatory infrastructure for bentho pelagic monitoring |
| topic | benthic and pelagic monitoring image processing acoustics crawler docking station cabled observatories fuel cells ecosystem component classification |
| url | https://www.mdpi.com/1424-8220/20/6/1614 |
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