Evidence map›Paper›PMID 41203841›Full record

ArticleScientific reports2025

An innovative approach to welding robot operator reliability analysis using extended TESEO and HEART methods.

Michał Pałęga, Mariusz Salwin, Tomasz M Chmielewski, Piotr Przybyłowicz

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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.

Michał PałęgaDepartment of Production Management, Czestochowa University of Technology, Armii Krajowej 19, 42-200, Czestochowa, Poland.
Mariusz SalwinInstitute of Production Systems Organization, Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, 86 Narbutta St, 02-524, Warsaw, Poland. mariusz.salwin@onet.pl.
Tomasz M ChmielewskiInstitute of Manufacturing Techniques, Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, 86 Narbutta St, 02-524, Warsaw, Poland.
Piotr PrzybyłowiczInstitute of Machine Design Fundamentals, Faculty of Automotive and Construction Machinery Engineering, Narbutta 84, 02-524, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper presents a comprehensive identification and assessment of occupational hazards related to the operation of robotic welding systems. New technology fundamentally improves quality and accuracy of welds, especially precise narrow seams connecting thin sheets or profiles. The paper draws attention to typical occupational hazards occurring in the workplace, as well as those resulting from the use of robotic welding devices. Risk assessment was performed using the commonly used RISK SCORE method. Moreover, as part of our own research, the employee's reliability levels were determined by determining the probability of making a mistake. The human factor reliability study was carried out using HRA (Human Reliability Analysis) methods. The classic TESEO and HEART approaches have been expanded to include additional factors, such as human-machine interface (HMI), cognitive load, quality of documentation and procedures, and task ambiguity. This addition addresses a significant methodological gap in classic HRA analyses, which have so far overlooked these key aspects that influence the effectiveness and safety of human-robot interactions.

Indexed as

RoboticsWeldingHumansMan-Machine SystemsReproducibility of ResultsRisk AssessmentExtended TESEO and HEART techniquesHuman reliabilityInnovative HRA in a robotic environmentOccupational riskOccupational safety managementRobotic weldingWelding robot operator

Identifiers

PMID41203841
PMCPMC12595067

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.