Evidence map›Paper›PMID 35214378›Full record

ArticleSensors (Basel, Switzerland)2022

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

Angela Mazzeo, Jacopo Aguzzi, Marcello Calisti, Simonepietro Canese, Michela Angiolillo, A Louise Allcock, Fabrizio Vecchi, Sergio Stefanni, Marco Controzzi

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 4 countries.

Angela MazzeoThe BioRobotics Institute, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.ORCID 0000-0003-2999-1795
Jacopo AguzziStazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.ORCID 0000-0002-1484-8219
Marcello CalistiLincoln Institute for Agri-Food Technology, University of Lincoln, Lincoln LN6 7TS, UK.
Simonepietro CaneseStazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.ORCID 0000-0001-6049-4506
Michela AngiolilloStazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.ORCID 0000-0001-5420-8868
A Louise AllcockRyan Institute and School of Natural Sciences, NUI Galway, H91 TK33 Galway, Ireland.ORCID 0000-0002-4806-0040
Fabrizio VecchiStazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.
Sergio StefanniStazione Zoologica Anton Dohrn (SZN), 80121 Naples, Italy.ORCID 0000-0001-9477-0062
Marco ControzziThe BioRobotics Institute, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.ORCID 0000-0003-2135-0707
Stazione Zoologica Anton Dohrn · ITScuola Superiore Sant'Anna · ITConsejo Superior de Investigaciones Científicas · ESOllscoil na Gaillimhe – University of Galway · IEUniversity of Lincoln · GB

Funding

European Regional Development Fund 2014-2020Marine Institute SFI/15/IA/3100Ministerio de Ciencia, Innovación y Universidades TEC2017-87861-RScience Foundation Ireland SFI/15/IA/3100Spanish Government through the 'Severo Ochoa Centre of Excellence' accreditation CEX2019-000928-S
6 · The paper itself

Abstract

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.

Indexed as

RoboticsEquipment DesignHand StrengthHumansSpecies SpecificitySpecimen Handlingmarine biological samplingrobotic underwater handsROV grippertaxonomy of actionsunderwater end-effectorunderwater gripperunderwater manipulation

Identifiers

PMID35214378
PMCPMC8878465
OpenAlexW4213310690

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.