Evidence map›Paper›PMID 33501346›Full record

ReviewFrontiers in robotics and AI2020

A Review of Magnetic Elastomers and Their Role in Soft Robotics.

Nicholas Bira, Pallavi Dhagat, Joseph R Davidson

Abstract readReview
In one paragraph

Review in Frontiers in robotics and AI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  8. Review
  9. Article
  10. Water-Induced Shape-Locking Magnetic Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  11. Review
  12. Article
  13. Article
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  19. Review
  20. Twisting for soft intelligent autonomous robot in unstructured environments.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

3 authors.

Nicholas BiraCollaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, United States.
Pallavi DhagatSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, United States.
Joseph R DavidsonCollaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robotics as a field of study incorporates different mechanisms, control schemes, as well as multifunctional materials to realize robots able to perform tasks inaccessible to traditional rigid robots. Conventional methods for controlling soft robots include pneumatic or hydraulic pressure sources, and some more recent methods involve temperature and voltage control to enact shape change. Magnetism was more recently introduced as a building block for soft robotic design and control, with recent publications incorporating magnetorheological fluids and magnetic particles in elastomers, to realize some of the same objectives present in more traditional soft robotics research. This review attempts to organize and emphasize the existing work with magnetism and soft robotics, specifically studies on magnetic elastomers, while highlighting potential avenues for further research enabled by these advances.

Indexed as

elastomersmagnetic compositemagnetic elastomers (ME)magnetic powdermagnetism and electricitymagnetorheological elastomer (MRE)soft robotics

Identifiers

PMID33501346
PMCPMC7805737

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.