TY - JOUR
T1 - Developing technological synergies between deep-sea and space research
AU - Aguzzi, Jacopo
AU - Flögel, Sascha
AU - Marini, Simone
AU - Thomsen, Laurenz
AU - Albiez, Jan
AU - Weiss, Peter
AU - Picardi, Giacomo
AU - Calisti, Marcello
AU - Stefanni, Sergio
AU - Mirimin, Luca
AU - Vecchi, Fabrizio
AU - Laschi, Cecilia
AU - Branch, Andrew
AU - Clark, Evan B.
AU - Foing, Bernard
AU - Wedler, Armin
AU - Chatzievangelou, Damianos
AU - Tangherlini, Michael
AU - Purser, Autun
AU - Dartnell, Lewis
AU - Danovaro, Roberto
N1 - Publisher Copyright:
© 2018 Librairie Philosophique J. Vrin. All rights reserved.
PY - 2022/2/8
Y1 - 2022/2/8
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Biomimicking
KW - Deep-sea robotics
KW - Exo-oceans
KW - Marine observatory networks
KW - Miniaturized life-tracing sensors
UR - http://www.scopus.com/inward/record.url?scp=85125064127&partnerID=8YFLogxK
U2 - 10.1525/elementa.2021.00064
DO - 10.1525/elementa.2021.00064
M3 - Review article
AN - SCOPUS:85125064127
SN - 2325-1026
VL - 10
JO - Elementa
JF - Elementa
IS - 1
ER -