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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003680naa a2200589 4500
001oai:gup.ub.gu.se/319977
003SwePub
008221117s2022 | |||||||||||000 ||eng|
0247 a https://gup.ub.gu.se/publication/3199772 URI
0247 a https://doi.org/10.1525/elementa.2021.000642 DOI
040 a (SwePub)gu
041 a eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Aguzzi, Jacopo4 aut
2451 0a Developing technological synergies between deep-sea and space research
264 1c 2022
520 a 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.
653 a Artificial intelligence
653 a Biomimicking
653 a Deep-sea robotics
653 a Exo-oceans
653 a Marine observatory networks
653 a Miniaturized life-tracing sensors
7001 a Flögel, Sascha4 aut
7001 a Marini, Simone4 aut
7001 a Thomsen, Laurenz,d 1963u Gothenburg University,Göteborgs universitet,Institutionen för marina vetenskaper,Department of marine sciences4 aut0 (Swepub:gu)xthlau
7001 a Albiez, Jan4 aut
7001 a Weiss, Peter4 aut
7001 a Picardi, Giacomo4 aut
7001 a Calisti, Marcello4 aut
7001 a Stefanni, Sergio4 aut
7001 a Mirimin, Luca4 aut
7001 a Vecchi, Fabrizio4 aut
7001 a Laschi, Cecilia4 aut
7001 a Branch, Andrew4 aut
7001 a Clark, Evan B.4 aut
7001 a Foing, Bernard4 aut
7001 a Wedler, Armin4 aut
7001 a Chatzievangelou, Damianos4 aut
7001 a Tangherlini, Michael4 aut
7001 a Purser, Autun4 aut
7001 a Dartnell, Lewis4 aut
7001 a Danovaro, Roberto4 aut
7102 a Göteborgs universitetb Institutionen för marina vetenskaper4 org
7102 a Göteborgs universitet
7102 a Gothenburg University
7730 t Elementag 10q 10x 2325-1026
8564 u https://online.ucpress.edu/elementa/article-pdf/10/1/00064/494885/elementa.2021.00064.pdf
8564 8u https://gup.ub.gu.se/publication/319977
8564 8u https://doi.org/10.1525/elementa.2021.00064

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