Bioinspired Twisted Artificial Muscles with Enhanced Performance for Underwater Applications.

Jin Sun, Yuan Fu, Shijng Zhang, Jing Li, Dehong Wang, Junkao Liu, Yingxiang Liu

Abstract read

In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jin SunState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China.

Yuan FuState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China.

Shijng ZhangState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China.

Jing LiState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China.

Dehong WangState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China.

Junkao LiuState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China.

Yingxiang LiuState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China.ORCID https://orcid.org/0000-0001-5684-9159

Funding

China Postdoctoral Science Foundation 2024M764168National Natural Science Foundation of China 52225501National Natural Science Foundation of China 523B2040National Natural Science Foundation of China 524B2045Postdoctoral Fellowship Program of CPSF GZB20240959

6 · The paper itself

Abstract

Twisted artificial muscles (TAMs) demonstrate great promise in robotic applications involving locomotion and manipulation. However, their functionality in underwater environments remains challenging due to limitations in deformation, output force, and heat dissipation especially for thermally driven TAMs. To address these challenges, a novel TAM configuration inspired by the twining structures of climbing plants that consists of braided and pre-twisted fiber bundles is proposed. This configuration achieves large deformation and high output force, reaching a contraction ratio of 40.0% under a load of 300 g. Meanwhile, a soft insulation layer inspired by the blubber layer of seals is applied to reduce heat dissipation in underwater environments, resulting in a 30.5 °C temperature difference. In addition, a rapid actuation unit is developed, which utilizes elastic energy storage and release to achieve an angular velocity of 180° s

Indexed as

braided‐twisted and plant‐coiled artificial musclesrapid actuation unitsoft actuatorthermal insulation strategyunderwater application

Identifiers

PMID40642879

DOI10.1002/advs.202507572

PMCPMC13042987

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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.