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Developing technological synergies between deep-sea and space research.
Aguzzi, Jacopo, Flögel, Sascha, Marini, Simone, Thomsen, Laurenz, Albiez, Jan, Weiss, Peter, Picardi, Giacomo, Calisti, Marcello, Stefanni, Sergio, Mirimin, Luca, Vecchi, Fabrizio, Laschi, Cecilia, Branch, Andrew, Clark, Evan B., Foing, Bernard, Wedler, Armin, Chatzievangelou, Damianos, Tangherlini, Michael, Purser, Autun, Dartnell, Lewis and Danovaro, Roberto (2022) Developing technological synergies between deep-sea and space research. Elementa: Science of the Anthropocene, 10 (1). Art.Nr. 00064. DOI 10.1525/elementa.2021.00064.
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Abstract
Recent advances in robotic design, autonomy and sensor integration create solutions for the exploration of deep-sea environments, transferable to the oceans of icy moons. Marine platforms do not yet have the mission autonomy capacity of their space counterparts (e.g., the state of the art Mars Perseverance rover mission), although different levels of autonomous navigation and mapping, as well as sampling, are an extant capability. In this setting their increasingly biomimicked designs may allow access to complex environmental scenarios, with novel, highly-integrated life-detecting, oceanographic and geochemical sensor packages. Here, we lay an outlook for the upcoming advances in deep-sea robotics through synergies with space technologies within three major research areas: biomimetic structure and propulsion (including power storage and generation), artificial intelligence and cooperative networks, and life-detecting instrument design. New morphological and material designs, with miniaturized and more diffuse sensor packages, will advance robotic sensing systems. Artificial intelligence algorithms controlling navigation and communications will allow the further development of the behavioral biomimicking by cooperating networks. Solutions will have to be tested within infrastructural networks of cabled observatories, neutrino telescopes, and off-shore industry sites with agendas and modalities that are beyond the scope of our work, but could draw inspiration on the proposed examples for the operational combination of fixed and mobile platforms.
Document Type: | Article |
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Funder compliance: | info:eu-repo/grantAgreement/EC/H2020/871153 ; info:eu-repo/grantAgreement/EC/H2020/824348 |
Keywords: | Deep-sea robotics, Exo-oceans, Biomimicking, Artificial intelligence, Miniaturized life-tracing sensors, Marine observatory networks |
Research affiliation: | OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-P-OZ Paleo-Oceanography |
Main POF Topic: | PT2: Ocean and Cryosphere |
Refereed: | Yes |
Open Access Journal?: | Yes |
Publisher: | University of California Press, BioOne |
Projects: | ARIM, ARCHES, RESBIO, JERICO-S3, ENDURUNS |
Date Deposited: | 15 Feb 2022 11:13 |
Last Modified: | 15 Jul 2024 09:35 |
URI: | https://oceanrep.geomar.de/id/eprint/55217 |
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