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Developing technological synergies between deep-sea and space research

  • Jacopo Aguzzi
  • , Sascha Flögel
  • , Simone Marini
  • , Laurenz Thomsen
  • , Jan Albiez
  • , Peter Weiss
  • , Giacomo Picardi
  • , Marcello Calisti
  • , Sergio Stefanni
  • , Luca Mirimin
  • , Fabrizio Vecchi
  • , Cecilia Laschi
  • , Andrew Branch
  • , Evan B. Clark
  • , Bernard Foing
  • , Armin Wedler
  • , Damianos Chatzievangelou
  • , Michael Tangherlini
  • , Autun Purser
  • , Lewis Dartnell
  • Roberto Danovaro
    • Institut de Ciencias del Mar (ICM) - CSIC
    • Stazione Zoologica Anton Dohrn
    • Helmholtz Centre for Ocean Research Kiel
    • National Research Council of Italy
    • Jacobs University
    • Kraken Robotics
    • Spartan Space
    • BioRobotics Institute-Scuola Superiore Sant'Anna (SSAA)
    • University of Lincoln
    • National University of Singapore
    • Jet Propulsion Laboratory
    • Leiden University
    • Deutsches Zentrum Fu r Luft- und Raumfahrt
    • Alfred Wegener Institute (AWI) for Polar and Marine Research
    • University of Westminster
    • Polytechnic University of Marche

    Research output: Contribution to journalReview articlepeer-review

    25 Citations (Scopus)

    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.

    Original languageEnglish
    JournalElementa
    Volume10
    Issue number1
    DOIs
    Publication statusPublished - 8 Feb 2022

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 14 - Life Below Water
      SDG 14 Life Below Water

    Keywords

    • Artificial intelligence
    • Biomimicking
    • Deep-sea robotics
    • Exo-oceans
    • Marine observatory networks
    • Miniaturized life-tracing sensors

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