Evidence map›Paper›PMID 37258618›Full record

ArticleScientific reports2023

Assisted damage closure and healing in soft robots by shape memory alloy wires.

Seyedreza Kashef Tabrizian, Seppe Terryn, Aleix Costa Cornellà, Joost Brancart, Julie Legrand, Guy Van Assche, Bram Vanderborght

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Toward Autonomous Self-Healing in Soft Robotics: A Review and Perspective for Future Research.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025
    Review
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.

Seyedreza Kashef TabrizianBrubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium. Seyedreza.Kashef.Tabrizian@vub.be.
Seppe TerrynBrubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.
Aleix Costa CornellàPhysical Chemistry and Polymer Science (FYSC), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Joost BrancartBrubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.
Julie LegrandBrubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.
Guy Van AsschePhysical Chemistry and Polymer Science (FYSC), Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Bram VanderborghtBrubotics, Vrije Universiteit Brussel (VUB) and Imec, Brussels, Belgium.

Funding

European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant 860108Fonds voor Wetenschappelijk Onderzoek - Vlaanderen 12E1123NFonds voor Wetenschappelijk Onderzoek - Vlaanderen) FWOTM784
6 · The paper itself

Abstract

Self-healing soft robots show enormous potential to recover functional performance after healing the damages. However, healing in these systems is limited by the recontact of the fracture surfaces. This paper presents for the first time a shape memory alloy (SMA) wire-reinforced soft bending actuator made out of a castor oil-based self-healing polymer, with the incorporated ability to recover from large incisions via shape memory assisted healing. The integrated SMA wires serve three major purposes; (i) Large incisions are closed by contraction of the current-activated SMA wires that are integrated into the chamber. These pull the fracture surfaces into contact, enabling the healing. (ii) The heat generated during the activation of the SMA wires is synergistically exploited for accelerating the healing. (iii) Lastly, during pneumatic actuation, the wires constrain radial expansion and one-side longitudinal extension of the soft chamber, effectuating the desired actuator bending motion. This novel approach of healing is studied via mechanical and ultrasound tests on the specimen level, as well as via bending characterization of the pneumatic robot in multiple damage healing cycles. This technology allows soft robots to become more independent in terms of their self-healing capabilities from human intervention.

Identifiers

PMID37258618
PMCPMC10232441

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.