Evidence map›Paper›PMID 33500963›Full record

ReviewFrontiers in robotics and AI2018

Soft Robots Manufacturing: A Review.

François Schmitt, Olivier Piccin, Laurent Barbé, Bernard Bayle

Abstract readReview
In one paragraph

Review in Frontiers in robotics and AI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Habitat-Specific Design Strategies for Untethered Soft Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Review
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  7. Review
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  11. Review
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  14. Classification and Evaluation of Octopus-Inspired Suction Cups for Soft Continuum Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  15. Integrated Actuation and Sensing: Toward Intelligent Soft Robots.Cyborg and bionic systems (Washington, D.C.) · 2024
    Review
  16. Article
  17. Article
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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

4 authors.

François SchmittICube laboratory, University of Strasbourg/INSA Strasbourg/CNRS, Strasbourg, France.
Olivier PiccinICube laboratory, University of Strasbourg/INSA Strasbourg/CNRS, Strasbourg, France.
Laurent BarbéICube laboratory, University of Strasbourg/INSA Strasbourg/CNRS, Strasbourg, France.
Bernard BayleICube laboratory, University of Strasbourg/INSA Strasbourg/CNRS, Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing interest in soft robots comes from the new possibilities offered by these systems to cope with problems that cannot be addressed by robots built from rigid bodies. Many innovative solutions have been developed in recent years to design soft components and systems. They all demonstrate how soft robotics development is closely dependent on advanced manufacturing processes. This review aims at giving an insight on the current state of the art in soft robotics manufacturing. It first puts in light the elementary components that can be used to develop soft actuators, whether they use fluids, shape memory alloys, electro-active polymers or stimuli-responsive materials. Other types of elementary components, such as soft smart structures or soft-rigid hybrid systems, are then presented. The second part of this review deals with the manufacturing methods used to build complete soft structures. It includes molding, with possibly reinforcements and inclusions, additive manufacturing, thin-film manufacturing, shape deposition manufacturing, and bonding. The paper conclusions sums up the pros and cons of the presented techniques, and open to developing topics such as design methods for soft robotics and sensing technologies.

Indexed as

designmanufacturing processprototypingsoft componentssoft robotics

Identifiers

PMID33500963
PMCPMC7805834

What OpenQuestion holds

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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.