Marine Robotics for Deep-Sea Specimen Collection: A Taxonomy of Underwater Manipulative Actions.

ROV gripper marine biological sampling robotic underwater hands taxonomy of actions underwater end-effector underwater gripper underwater manipulation

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
14 Feb 2022
Historique:
received: 19 12 2021
revised: 04 02 2022
accepted: 09 02 2022
entrez: 26 2 2022
pubmed: 27 2 2022
medline: 3 3 2022
Statut: epublish

Résumé

In order to develop a gripping system or control strategy that improves scientific sampling procedures, knowledge of the process and the consequent definition of requirements is fundamental. Nevertheless, factors influencing sampling procedures have not been extensively described, and selected strategies mostly depend on pilots' and researchers' experience. We interviewed 17 researchers and remotely operated vehicle (ROV) technical operators, through a formal questionnaire or in-person interviews, to collect evidence of sampling procedures based on their direct field experience. We methodologically analyzed sampling procedures to extract single basic actions (called atomic manipulations). Available equipment, environment and species-specific features strongly influenced the manipulative choices. We identified a list of functional and technical requirements for the development of novel end-effectors for marine sampling. Our results indicate that the unstructured and highly variable deep-sea environment requires a versatile system, capable of robust interactions with hard surfaces such as pushing or scraping, precise tuning of gripping force for tasks such as pulling delicate organisms away from hard and soft substrates, and rigid holding, as well as a mechanism for rapidly switching among external tools.

Identifiants

pubmed: 35214378
pii: s22041471
doi: 10.3390/s22041471
pmc: PMC8878465
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministerio de Ciencia, Innovación y Universidades
ID : TEC2017-87861-R
Organisme : Spanish Government through the 'Severo Ochoa Centre of Excellence' accreditation
ID : CEX2019-000928-S
Organisme : Science Foundation Ireland
ID : SFI/15/IA/3100
Pays : Ireland
Organisme : European Regional Development Fund
ID : 2014-2020
Organisme : Marine Institute
ID : SFI/15/IA/3100

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Auteurs

Angela Mazzeo (A)

The BioRobotics Institute, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Stazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.

Jacopo Aguzzi (J)

Stazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.
Instituto de Ciencias del Mar (ICM)-Consejo Superior de Investigaciones Científicas (CSIC), 08003 Barcelona, Spain.

Marcello Calisti (M)

Lincoln Institute for Agri-Food Technology, University of Lincoln, Lincoln LN6 7TS, UK.

Simonepietro Canese (S)

Stazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.

Michela Angiolillo (M)

Stazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.
Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), 00144 Rome, Italy.

A Louise Allcock (AL)

Ryan Institute and School of Natural Sciences, NUI Galway, H91 TK33 Galway, Ireland.

Fabrizio Vecchi (F)

Stazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.

Sergio Stefanni (S)

Stazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.

Marco Controzzi (M)

The BioRobotics Institute, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.

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Classifications MeSH