Evidence map›Paper›PMID 42814830›Full record

ArticleScience advances2026

Programmable robotic textile with closed-loop self-sensing and active actuation.

Haoran Liu, Lingqi Tang, Chi Zhang, Rui Zhou, Jiahai Ma, Yishen Zhao, Jun Zhang, Gaoweiang Dong, Huyue Chen, Wei Li and 3 more

Abstract read
In one paragraph

Article in Science advances, 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

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

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

13 authors.

Haoran LiuDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0009-0006-7206-9711
Lingqi TangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0002-3827-9612
Chi ZhangNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, School of Integrated Circuits, Peking University, Beijing 100871, China.
Rui ZhouDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Jiahai MaDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Yishen ZhaoDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Jun ZhangDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.
Gaoweiang DongClone Incorporated, Atherton, CA 94027, USA.
Huyue ChenDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-9730-9546
Wei LiState Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Hongjie HuNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, School of Integrated Circuits, Peking University, Beijing 100871, China.ORCID 0009-0008-6454-8784
Xin MaDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0002-9325-6384
Qiguang HeDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-7103-4273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic textiles that autonomously sense biological and environmental signals and perform closed-loop adaptive actuation represent a new paradigm for intelligent human-machine interfaces in precision medicine and human augmentation. However, mechanical incompatibility of their constituent materials and architectures, unstable sensing during dynamic human-machine interaction, and high-voltage safety concerns significantly restrict their reliable applications. Herein, a low-voltage-driven untethered robotic textile interlacing all-in-one core-sheath liquid metal (LM)-liquid crystal elastomer (LCE) fibers with passive yarns is proposed, enabling stable closed-loop sensing-control-actuation within a unified programmable architecture by sensing preload, strain and temperature variations. Thereinto, the hollow LCE fiber acts as an efficient actuating element and compliant protective sheath, and the LM core simultaneously provides robust strain sensing and electrothermal stimulation. These untethered closed-loop robotic textiles feature high-force and voltage-tunable actuation and programmable morphing with adjustable porosity, offering significant potential for locomotion support and training, posture correction, compression therapy, thermal management, and electromagnetic-interference attenuation.

Identifiers

PMID42814830
PMCPMC13626054

What OpenQuestion holds

Textmetadata
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.