Evidence map›Paper›PMID 38486625›Full record

ReviewWearable technologies2021

Occupational exoskeletons: A roadmap toward large-scale adoption. Methodology and challenges of bringing exoskeletons to workplaces.

Simona Crea, Philipp Beckerle, Michiel De Looze, Kevin De Pauw, Lorenzo Grazi, Tjaša Kermavnar, Jawad Masood, Leonard W O'Sullivan, Ilaria Pacifico, Carlos Rodriguez-Guerrero and 3 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Wearable technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07561112 (The Impact of Back-supporting Exoskeletons for Manual Order Picking in Danish Warehouses - The RELAX Project - Protocol for an 18-month In-field Controlled Intervention Study), which is not on this map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
–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.

NCT07561112 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Impact of Back-supporting Exoskeletons for Manual Order Picking in Danish Warehouses - The RELAX Project - Protocol for an 18-month In-field Controlled Intervention Study

TypeinterventionalSponsorAalborg UniversityRan2026 to 2029Enrolled90ConditionsWork-Related Musculoskeletal DisordersArmsUse of an occupational passive back-exoskeleton
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

13 authors.

Simona CreaScuola Superiore Sant'Anna, The BioRobotics Institute, Pontedera, Italy.ORCID https://orcid.org/0000-0001-9833-4401
Philipp BeckerleChair of Autonomous Systems and Mechatronics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Michiel De LoozeTNO, Leiden, The Netherlands.
Kevin De PauwHuman Physiology and Sports Physiotherapy Research Group, and Brussels Human Robotics Research Center (BruBotics), Vrije Universiteit Brussel, Brussels, Belgium.
Lorenzo GraziScuola Superiore Sant'Anna, The BioRobotics Institute, Pontedera, Italy.ORCID https://orcid.org/0000-0003-4899-9346
Tjaša KermavnarSchool of Design, and Confirm Smart Manufacturing Centre, University of Limerick, Limerick, Ireland.
Jawad MasoodProcesses and Factory of the Future Department, CTAG - Centro Tecnológico de Automoción de Galicia, Pontevedra, Spain.
Leonard W O'SullivanSchool of Design, and Confirm Smart Manufacturing Centre, University of Limerick, Limerick, Ireland.
Ilaria PacificoScuola Superiore Sant'Anna, The BioRobotics Institute, Pontedera, Italy.
Carlos Rodriguez-GuerreroRobotics and Multibody Mechanics Research Group, Department of Mechanical Engineering, Vrije Universiteit Brussel and Flanders Make, Brussel, Belgium.
Nicola VitielloScuola Superiore Sant'Anna, The BioRobotics Institute, Pontedera, Italy.
Danijela Ristić-DurrantInstitute of Automation, University of Bremen, Bremen, Germany.
Jan VenemanChair of COST Action 16116, Hocoma Medical GmbH, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The large-scale adoption of occupational exoskeletons (OEs) will only happen if clear evidence of effectiveness of the devices is available. Performing product-specific field validation studies would allow the stakeholders and decision-makers (e.g., employers, ergonomists, health, and safety departments) to assess OEs' effectiveness in their specific work contexts and with experienced workers, who could further provide useful insights on practical issues related to exoskeleton daily use. This paper reviews present-day scientific methods for assessing the effectiveness of OEs in laboratory and field studies, and presents the vision of the authors on a roadmap that could lead to large-scale adoption of this technology. The analysis of the state-of-the-art shows methodological differences between laboratory and field studies. While the former are more extensively reported in scientific papers, they exhibit limited generalizability of the findings to real-world scenarios. On the contrary, field studies are limited in sample sizes and frequently focused only on subjective metrics. We propose a roadmap to promote large-scale knowledge-based adoption of OEs. It details that the analysis of the costs and benefits of this technology should be communicated to all stakeholders to facilitate informed decision making, so that each stakeholder can develop their specific role regarding this innovation. Large-scale field studies can help identify and monitor the possible side-effects related to exoskeleton use in real work situations, as well as provide a comprehensive scientific knowledge base to support the revision of ergonomics risk-assessment methods, safety standards and regulations, and the definition of guidelines and practices for the selection and use of OEs.

Indexed as

field studiesindustrial ergonomicsoccupational exoskeletons

Identifiers

PMID38486625
PMCPMC10936259

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.