Evidence map›Paper›PMID 41211031›Full record

ArticleFrontiers in robotics and AI2025

FleXo: a flexible passive exoskeleton optimized for reducing lower back strain in manual handling tasks.

Federico Allione, Maria Lazzaroni, Antonios E Gkikakis, Christian Di Natali, Luigi Monica, Darwin G Caldwell, Jesús Ortiz

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 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

7 authors.

Federico AllioneDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Maria LazzaroniDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Antonios E GkikakisDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Christian Di NataliDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Luigi MonicaDepartment of Technological Innovation and Safety Equipment, Products and Anthropic Settlements, Italian Workers' Compensation Authority (INAIL), Rome, Italy.
Darwin G CaldwellDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Jesús OrtizDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal disorders, particularly low back pain, are some of the most common occupational health issues globally, causing significant personal suffering and economic burdens. Workers performing repetitive manual material handling tasks are especially at risk. FleXo, a lightweight (1.35 kg), flexible, ergonomic, and passive back-support exoskeleton is intended to reduce lower back strain during lifting tasks while allowing full freedom of movement for activities like walking, sitting, or side bending. FleXo's design results from an advanced multi-objective design optimization approach that balances functionality and user comfort. In this work, validated through user feedback in a series of relevant repetitive tasks, it is demonstrated that FleXo can reduce the perceived physical effort during lifting tasks, enhance user satisfaction, improve employee wellbeing, promote workplace safety, decrease injuries, and lower the costs (both to society and companies) associated with lower back pain and injury.

Indexed as

back-support exoskeletonflexible exoskeletonoccupational exoskeletonsoft exoskeletonwearable robotics

Identifiers

PMID41211031
PMCPMC12588867

What OpenQuestion holds

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LicenceCC BY
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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.