Evidence map›Paper›PMID 37953963›Full record

ReviewFrontiers in robotics and AI2023

A review on self-healing featured soft robotics.

Md Ariful Islam, Labanya Talukder, Md Firoj Al, Subrata K Sarker, S M Muyeen, Prangon Das, Md Mehedi Hasan, Sajal K Das, Md Manirul Islam, Md Robiul Islam and 4 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in robotics and AI, 2023. 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. 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
  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

14 authors.

Md Ariful IslamDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Labanya TalukderDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Md Firoj AlDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Subrata K SarkerDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
S M MuyeenDepartment of Electrical Engineering, Qatar University, Doha, Qatar.
Prangon DasDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Md Mehedi HasanDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Sajal K DasDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Md Manirul IslamDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Md Robiul IslamDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Sumaya Ishrat MoyeenDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Faisal R BadalDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Md Hafiz AhamedDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.
Sarafat Hussain AbhiDepartment of Mechatronics Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robots are becoming more popular because they can solve issues stiff robots cannot. Soft component and system design have seen several innovations recently. Next-generation robot-human interactions will depend on soft robotics. Soft material technologies integrate safety at the material level, speeding its integration with biological systems. Soft robotic systems must be as resilient as biological systems in unexpected, uncontrolled situations. Self-healing materials, especially polymeric and elastomeric ones, are widely studied. Since most currently under-development soft robotic systems are composed of polymeric or elastomeric materials, this finding may provide immediate assistance to the community developing soft robots. Self-healing and damage-resilient systems are making their way into actuators, structures, and sensors, even if soft robotics remains in its infancy. In the future, self-repairing soft robotic systems composed of polymers might save both money and the environment. Over the last decade, academics and businesses have grown interested in soft robotics. Despite several literature evaluations of the soft robotics subject, there seems to be a lack of systematic research on its intellectual structure and development despite the rising number of articles. This article gives an in-depth overview of the existing knowledge base on damage resistance and self-healing materials' fundamental structure and classifications. Current uses, problems with future implementation, and solutions to those problems are all included in this overview. Also discussed are potential applications and future directions for self-repairing soft robots.

Indexed as

dielectric elastomer actuatorextrinsichydrogelintrinsicself-healingsoft actuatorsoft roboticswearable robots

Identifiers

PMID37953963
PMCPMC10637358

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.