Robot-Based Calibration Procedure for Graphene Electronic Skin.

Jan Klimaszewski, Krzysztof Wildner, Anna Ostaszewska-Liżewska, Michał Władziński, Jakub Możaryn

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

5 authors.

Jan KlimaszewskiWarsaw University of Technology, Faculty of Mechatronics, Institute of Automatic Control and Robotics, A. Boboli 8 Street, 02-525 Warsaw, Poland.ORCID 0000-0002-0028-0968

Krzysztof WildnerWarsaw University of Technology, Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, A. Boboli 8 Street, 02-525 Warsaw, Poland.ORCID 0000-0003-0531-8563

Anna Ostaszewska-LiżewskaWarsaw University of Technology, Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, A. Boboli 8 Street, 02-525 Warsaw, Poland.ORCID 0000-0002-5203-8129

Michał WładzińskiWarsaw University of Technology, Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, A. Boboli 8 Street, 02-525 Warsaw, Poland.ORCID 0000-0002-6986-251X

Jakub MożarynWarsaw University of Technology, Faculty of Mechatronics, Institute of Automatic Control and Robotics, A. Boboli 8 Street, 02-525 Warsaw, Poland.ORCID 0000-0002-2677-0113

Funding

Warsaw University of Technology 504/04701/1141/44.000000

6 · The paper itself

Abstract

The paper describes the semi-automatised calibration procedure of an electronic skin comprising screen-printed graphene-based sensors intended to be used for robotic applications. The variability of sensitivity and load characteristics among sensors makes the practical use of the e-skin extremely difficult. As the number of active elements forming the e-skin increases, this problem becomes more significant. The article describes the calibration procedure of multiple e-skin array sensors whose parameters are not homogeneous. We describe how an industrial robot equipped with a reference force sensor can be used to automatise the e-skin calibration procedure. The proposed methodology facilitates, speeds up, and increases the repeatability of the e-skin calibration. Finally, for the chosen example of a nonhomogeneous sensor matrix, we provide details of the data preprocessing, the sensor modelling process, and a discussion of the obtained results.

Indexed as

GraphiteRoboticsWearable Electronic DevicesCalibrationGraphitecalibrationelectronic skinhuman–machine interface

Identifiers

PMID36015884

DOI10.3390/s22166122

PMCPMC9416129

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.