Evidence map›Paper›PMID 40292598›Full record

ReviewPolymers2025

Research Progress in Electroactive Polymers for Soft Robotics and Artificial Muscle Applications.

Yogesh Dewang, Vipin Sharma, Vijay Kumar Baliyan, Thiagarajan Soundappan, Yogesh Kumar Singla

Abstract readReview
In one paragraph

Review in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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

5 authors.

Yogesh DewangDepartment of Mechanical Engineering, Lakshmi Narain College of Technology, Bhopal 462021, India.ORCID 0000-0003-3958-3939
Vipin SharmaDepartment of Mechanical Engineering, Medi-Caps University, Indore 453331, India.ORCID 0000-0003-3243-5423
Vijay Kumar BaliyanSchool of Sciences, Sanjeev Agarwal Global Education University, Bhopal 462022, India.
Thiagarajan SoundappanSchool of Science, Navajo Technical University, Crownpoint, NM 87313, USA.ORCID 0000-0003-0871-1301
Yogesh Kumar SinglaSchool of Engineering, Math & Technology, Navajo Technical University, Crownpoint, NM 87313, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robots, constructed from deformable materials, offer significant advantages over rigid robots by mimicking biological tissues and providing enhanced adaptability, safety, and functionality across various applications. Central to these robots are electroactive polymer (EAP) actuators, which allow large deformations in response to external stimuli. This review examines various EAP actuators, including dielectric elastomers, liquid crystal elastomers (LCEs), and ionic polymers, focusing on their potential as artificial muscles. EAPs, particularly ionic and electronic varieties, are noted for their high actuation strain, flexibility, lightweight nature, and energy efficiency, making them ideal for applications in mechatronics, robotics, and biomedical engineering. This review also highlights piezoelectric polymers like polyvinylidene fluoride (PVDF), known for their flexibility, biocompatibility, and ease of fabrication, contributing to tactile and pressure sensing in robotic systems. Additionally, conducting polymers, with their fast actuation speeds and high strain capabilities, are explored, alongside magnetic polymer composites (MPCs) with applications in biomedicine and electronics. The integration of machine learning (ML) and the Internet of Things (IoT) is transforming soft robotics, enhancing actuation, control, and design. Finally, the paper discusses future directions in soft robotics, focusing on self-healing composites, bio-inspired designs, sustainability, and the continued integration of IoT and ML for intelligent, adaptive, and responsive robotic systems.

Indexed as

actuatorselectro-activeforcepolymerssoft actuatorsstrain

Identifiers

PMID40292598
PMCPMC11945207

What Socratic 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 Socratic graph.