Evidence map›Paper›PMID 40789005›Full record

ReviewChemical reviews2025

Fabrication of Soft Robotics by Additive Manufacturing: From Materials to Applications.

Ouriel Bliah, Chidanand Hegde, Joel Ming Rui Tan, Shlomo Magdassi

Abstract readReview
In one paragraph

Review in Chemical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Metastable Polymers for Circular 3D Printing.Advanced materials (Deerfield Beach, Fla.) · 2026
    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.

Ouriel BliahCasali Center for Applied Chemistry, Institute of Chemistry, and Center for Nanotechnology and Nanoscience Hebrew University of Jerusalem, Jerusalem 91904, Israel.ORCID 0000-0002-1000-2160
Chidanand HegdeSchool of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0003-2392-6060
Joel Ming Rui TanSchool of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0009-0002-7418-5565
Shlomo MagdassiCasali Center for Applied Chemistry, Institute of Chemistry, and Center for Nanotechnology and Nanoscience Hebrew University of Jerusalem, Jerusalem 91904, Israel.ORCID 0000-0002-6794-0553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robotics is a rapidly evolving field that leverages the unique properties of compliant, flexible materials to create robots that are capable of complex and adaptive behaviors. Unlike traditional rigid robots, soft robots rely on the properties of soft materials, which enable them to safely interact with humans, manipulate delicate objects, and perform various locomotion processes. This review provides a comprehensive overview of the development process of soft robots by additive manufacturing with a particular focus on the chemical aspects of the materials involved. The types of materials used in soft robotics, highlighting their properties, applications, and the role of their chemical composition in performance, are presented. The review then explores fabrication methods, detailing their chemical underpinnings, advantages, and limitations, followed by presenting common design methods used to optimize soft robots. Finally, the review discusses the diverse applications of soft robots across various domains, including medical, locomotion, manipulation, and wearable devices. By covering every stage of the additive manufactured soft robot, from material selection to application, this review aims to offer a deep and comprehensive understanding of this field.

Identifiers

PMID40789005
PMCPMC12395417

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.