ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Self-Healing and Reprocessable Soft Robots Using 3D Digital Light Printing.
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.
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.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Self-Healing and Reprocessable Soft Robots Using 3D Digital Light Printing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.