Evidence map›Paper›PMID 41178524›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Self-Healing and Reprocessable Soft Robots Using 3D Digital Light Printing.

Chenggang Yuan, Yuqing Qin, Miaomiao Liu, Wai Hin Lee, Mantas Drelingas, Sebastian Fieldhouse, Alan M Wemyss, Poh Sheng Tay, David M Haddleton, Chris Bowen and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Self-Healing and Reprocessable Soft Robots Using 3D Digital Light Printing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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

12 authors.

Chenggang YuanDepartment of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK.
Yuqing QinInternational Institute for Nanocomposites Manufacturing (IINM), University of Warwick, Coventry, CV4 7AL, UK.
Miaomiao LiuDepartment of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK.
Wai Hin LeeInternational Institute for Nanocomposites Manufacturing (IINM), University of Warwick, Coventry, CV4 7AL, UK.
Mantas DrelingasInternational Institute for Nanocomposites Manufacturing (IINM), University of Warwick, Coventry, CV4 7AL, UK.
Sebastian FieldhouseInternational Institute for Nanocomposites Manufacturing (IINM), University of Warwick, Coventry, CV4 7AL, UK.
Alan M WemyssInternational Institute for Nanocomposites Manufacturing (IINM), University of Warwick, Coventry, CV4 7AL, UK.
Poh Sheng TayDepartment of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK.
David M HaddletonDepartment of Chemistry, University of Warwick, Coventry, CV4 7AL, UK.
Chris BowenDepartment of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK.
Chaoying WanInternational Institute for Nanocomposites Manufacturing (IINM), University of Warwick, Coventry, CV4 7AL, UK.
Min PanDepartment of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK.ORCID https://orcid.org/0000-0002-2901-3388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robots manufactured from compliant materials are highly versatile and can interact safely with humans while performing complex tasks. However, their low modulus and high compliance make them vulnerable to mechanical damage. Here, we synthesise soft, self-healing, and recyclable robots featuring complex air chambers using 3D digital light printing technology. The formulated monomers and cross-linkers are polymerized layer-by-layer using photoinitiated free-radical polymerization during the printing process to form soft objects on a moving metal substrate. Dynamic chemistry is introduced into the polymer by designing cross-linker structures, whereby vinylogous urethanes-bearing cross-linkers of different chain lengths are studied to allow the cross-linked elastomer networks to be thermally triggerable for self-healing and reprocessing. The resultant elastomer exhibits a tensile strength of 3.51 ± 0.1 MPa and an elongation at break of 454 ± 56% with optimized formulations and printing parameters. The printed soft grippers and crawlers are investigated for their static and dynamic performance after being punctured, cut in half, and left to self-heal at room temperature for 24 h. They exhibit excellent self-healing capabilities with efficiencies of 94.5% and 87.5%, respectively. This new approach creates self-healing, recyclable soft robots with complex geometries through additive manufacturing, enabling sustainable, resilient robots for challenging environments.

Indexed as

3D digital light printingadditive manufacturingreprocessable soft robotsself‐healing robotssoft robots

Identifiers

PMID41178524
PMCPMC12786329

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.