Evidence map›Paper›PMID 33233543›Full record

ArticleSensors (Basel, Switzerland)2020

A Minimal Metric for the Characterization of Acoustic Noise Emitted by Underwater Vehicles.

Giacomo Picardi, Clara Borrelli, Augusto Sarti, Giovanni Chimienti, Marcello Calisti

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Bioinspired robots can foster nature conservation.Frontiers in robotics and AI · 2023
    Article
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  3. Review
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

5 authors.

Giacomo PicardiThe BioRobotics Institute, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.ORCID 0000-0001-9066-692X
Clara BorrelliDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy.
Augusto SartiDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy.ORCID 0000-0002-5803-1702
Giovanni ChimientiDepartment of Biology and CoNISMa LRU, University of Bari Aldo Moro, 70125 Bari, Italy.ORCID 0000-0003-2581-3430
Marcello CalistiThe BioRobotics Institute, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.

Funding

Arbi Dario S.p.A. noneItalian Ministry of Education, University and Research AIM 1807508-1National Geographic Society NGS-56544
6 · The paper itself

Abstract

Underwater robots emit sound during operations which can deteriorate the quality of acoustic data recorded by on-board sensors or disturb marine fauna during in vivo observations. Notwithstanding this, there have only been a few attempts at characterizing the acoustic emissions of underwater robots in the literature, and the datasheets of commercially available devices do not report information on this topic. This work has a twofold goal. First, we identified a setup consisting of a camera directly mounted on the robot structure to acquire the acoustic data and two indicators (i.e., spectral roll-off point and noise introduced to the environment) to provide a simple and intuitive characterization of the acoustic emissions of underwater robots carrying out specific maneuvers in specific environments. Second, we performed the proposed analysis on three underwater robots belonging to the classes of remotely operated vehicles and underwater legged robots. Our results showed how the legged device produced a clearly different signature compared to remotely operated vehicles which can be an advantage in operations that require low acoustic disturbance. Finally, we argue that the proposed indicators, obtained through a standardized procedure, may be a useful addition to datasheets of existing underwater robots.

Indexed as

acoustic noisebenthic environmentego-noiseROVunderwater legged robotsunderwater noiseunderwater roboticsvisual census

Identifiers

PMID33233543
PMCPMC7699715

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Registered trials

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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.