Evidence map›Paper›PMID 35590928›Full record

ArticleSensors (Basel, Switzerland)2022

A Magnetic Crawler System for Autonomous Long-Range Inspection and Maintenance on Large Structures.

Georges Chahine, Pete Schroepfer, Othmane-Latif Ouabi, Cédric Pradalier

Abstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Georges ChahineCollege of Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-2341-9974
Pete SchroepferCollege of Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Othmane-Latif OuabiIRL 2958 Georgia Tech-CNRS, 2 Rue Marconi, 57070 Metz, France.ORCID 0000-0002-8612-8296
Cédric PradalierIRL 2958 Georgia Tech-CNRS, 2 Rue Marconi, 57070 Metz, France.ORCID 0000-0002-1746-2733

Funding

European Union 871260
6 · The paper itself

Abstract

The inspection and maintenance of large-scale industrial structures are major challenges that require time-efficient and reliable solutions to ensure the healthy condition of structures during operation. Autonomous robots may provide a promising solution for this purpose. In particular, they could lead to faster and more reliable inspection and maintenance without direct intervention from human operators. In this paper, we present a custom magnetic crawler system, and sensor suit and sensing modalities to enable such robotic operation. We first describe a localization framework based on a mesh created from a point cloud coupled with Inertial Measurement Unit (IMU) and Ultra-Wide Band (UWB) readings. Next, we introduce a mapping framework that relies on a 3D laser, and explicitly state how autonomous navigation and obstacle avoidance can be developed. Lastly, we present how ultrasonic guided waves (UGWs) are integrated into the system to provide accurate robot localization and structural feature mapping by relying on acoustic reflections in combination with the other systems. It is envisioned that long-range inspection capabilities that are not yet available in current industrial mobile platforms could emerge from the designed robotic system.

Indexed as

IndustryLasersHumansMagnetic PhenomenaPhysical Phenomenaautonomousautonomous inspectionmobile roboticsperceptionroboticssensor fusionsensorsship hull inspectionultrasonic

Identifiers

PMID35590928
PMCPMC9100096

What OpenQuestion holds

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LicenceCC BY
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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.