Evidence map›Paper›PMID 42846698›Full record

ArticleFrontiers in robotics and AI2026

SkinAxis: 3D force-sensing soft robotic skins balancing touch sensitivity and impact protection for safe pHRC.

Pasquale Ferrentino, Milan Amighi, Sadegh Zouelm, Théo Le Signor, Joost Brancart, Constantin Scholz, Jeroen Didden, Jelle Vanolst, Gaël Close, Bram Vanderborght

Abstract read
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Article in Frontiers in robotics and AI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

10 authors.

Pasquale FerrentinoBrubotics, Vrije Universiteit Brussel and IMEC, Brussels, Belgium.
Milan AmighiBrubotics, Vrije Universiteit Brussel and IMEC, Brussels, Belgium.
Sadegh ZouelmBrubotics, Vrije Universiteit Brussel and IMEC, Brussels, Belgium.
Théo Le SignorMelexis Technologies SA, Bevaix, Switzerland.
Joost BrancartSustainable Materials Engineering (SUME), Vrije Universiteit Brussel, Brussels, Belgium.
Constantin ScholzBrubotics, Vrije Universiteit Brussel and IMEC, Brussels, Belgium.
Jeroen DiddenMelexis Technologies NV, Ypres, Belgium.
Jelle VanolstMelexis Technologies NV, Ypres, Belgium.
Gaël CloseMelexis Technologies SA, Bevaix, Switzerland.
Bram VanderborghtBrubotics, Vrije Universiteit Brussel and IMEC, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical human-robot collaboration (pHRC) requires robotic skins that simultaneously ensure impact safety, as established by ISO/TS 15066, and preserve touch sensitivity for delicate human interactions. Existing soft skins enhance compliance and multimodal sensing, but their design is rarely guided by a quantitative evaluation of the trade-off between touch sensitivity and impact mitigation, and systematic impact testing against ISO/TS 15066 limits is often absent. The SkinAxis modular soft robotic skin addresses this gap by embedding a compact 3D force sensor in the soft material, directly enabling touch localization, and using a material-based design that jointly optimizes quasi-static touch sensitivity and impact safety. This purpose is achieved by combining the mechanical properties of elastomeric materials, selected through dedicated mechanical tests, to identify a stiff elastomer that efficiently transfers forces to the sensor and a highly dissipative elastomer that absorbs impact energy. To highlight the trade-off achieved by the selected materials, two main designs are benchmarked: a single-material baseline and a hybrid patch with a compliant surface, a rigid load-transmission plate, and a stiff sensor support sleeve. The designs are compared in terms of quasi-static force sensitivity

Indexed as

finite element analysis (FEA)impact safety (ISO/TS 15066)physical human-robot collaborationsoft robotic skintactile force sensing

Identifiers

PMID42846698
PMCPMC13643023

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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.