Evidence map›Paper›PMID 42054444›Full record

ArticleScience advances2026

Continuum tactile sensing via an amplified liquid metal interface.

Erlong Wang, Mingyuan Sun, Du-An Ge, Shuai Dong, Gang Ma, Xiao Pan, Hongtai Ren, Yuewei Zhu, Hu Jin, Shi-Yang Tang and 3 more

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Erlong WangInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.ORCID 0009-0000-1051-5962
Mingyuan SunInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.ORCID 0009-0003-2642-280X
Du-An GeInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.ORCID 0009-0004-4947-9742
Shuai DongInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.ORCID 0000-0002-5365-9277
Gang MaInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.ORCID 0000-0001-5822-7556
Xiao PanInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.ORCID 0009-0009-3086-8242
Hongtai RenInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.
Yuewei ZhuInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.ORCID 0009-0009-4153-1151
Hu JinInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.ORCID 0000-0002-3108-875X
Shi-Yang TangSchool of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0002-3079-8880
Xiangpeng LiCollege of Mechanical and Electrical Engineering, Soochow University, Suzhou, 215000, China.ORCID 0000-0002-2028-8780
Weihua LiSchool of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.
Shiwu ZhangInstitute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei 230026, China.ORCID 0000-0001-7118-7704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimodal tactile sensing is crucial for next-generation robotics and human-machine interaction, but conventional solutions based on discrete sensor arrays suffer from complexity, limited flexibility, and high fabrication costs. Here, we introduce a continuum sensing paradigm based on a continuous liquid metal enabled flexible tactile sensing (CLiMETS) platform. This approach eliminates the need for sensor arrays by decoding tactile information from a single, unstructured liquid metal (LM) surface. We reveal a key mechanism where the deformation-induced voltage of the LM's electric double layer (EDL) is synergistically amplified by over two orders of magnitude upon contact with a conductive rod. Our geometrically encoded, dual-channel scheme enables precise 5 by 5 localization and eight-directional sliding recognition. We further demonstrate the platform's feasibility by realizing postprocessing visual feedback of an LED array, effectively translating complex tactile inputs into corresponding optical outputs. The CLiMETS platform offers a minimalist yet highly versatile proof-of-concept sensing modality, laying a strong foundation for more adaptive and interactive tactile technologies.

Identifiers

PMID42054444
PMCPMC13127571

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Registered trials

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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.