Evidence map›Paper›PMID 42503880›Full record

ArticleACS nano2026

Intrinsic Force-Temperature Self-Decoupling Enables Human-like Tactile Sensing in a Soft Ionic Skin.

Yu Feng, Jiankun Li, Cong Wu, Senlin Hou, Yehui Liu, Hui Sun, Meng Chen, Ziyi Li, Zhi Li, Guanglie Zhang and 4 more

Abstract read
In one paragraph

Article in ACS nano, 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

14 authors.

Yu FengDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.ORCID 0000-0003-2211-2161
Jiankun LiDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.
Cong WuDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.
Senlin HouDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.
Yehui LiuDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.
Hui SunDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.ORCID 0000-0001-6434-6172
Meng ChenDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.
Ziyi LiDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.
Zhi LiCollege of Computer Science and Software Engineering, Shenzhen University, Shenzhen518000, China.
Guanglie ZhangDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.
Steven WangDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.
Vellaisamy A L RoySchool of Science and Technology, Hong Kong Metropolitan University, Kowloon, Hong Kong SAR999077, China.ORCID 0000-0003-1432-9950
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.ORCID 0000-0003-0522-1171
Wen Jung LiDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR999077, China.ORCID 0000-0001-9616-6213

Funding

InnoHK Project Hong Kong Centre for Cerebro-Cardiovascular HealthResearch Grants Council, University Grants Committee 11207222Research Grants Council, University Grants Committee 11216120Research Grants Council, University Grants Committee CRS_CityU103Research Grants Council, University Grants Committee T42-717/20-R
6 · The paper itself

Abstract

Soft dual-modal tactile sensors capable of simultaneously sensing force and temperature are essential for enhancing human-like perception and interaction in robots, particularly in the functional sense of concurrent mechanical and thermal perception. However, achieving self-decoupled and high-fidelity dual-modal sensing remains a significant challenge due to intrinsic signal crosstalk, structural complexity, and limited flexibility in existing designs. Here, we present a soft robotic tactile (RoboTac) skin that intrinsically decouples force and temperature using an ionic conductive film within a minimalist architecture, featuring an ultralight weight and an ultralow cost. Ionic conductivity enables independent readouts without algorithmic compensation by allowing thickness compression to modulate capacitance (force) and lateral ionic transport under thermal stimuli to modulate resistance (temperature). Moreover, the RoboTac skin demonstrates its practical utility for robots in object perception, specialized tasks, and human-robot interaction. This work establishes a general principle for intrinsically self-decoupling modalities in tactile sensors, advancing multimodal sensing, intelligent perception, and embodied robotics.

Indexed as

RoboticsTemperatureTouchHumansIonsIonsbioinspired sensorflexible sensorionic gelmultimodal tactile sensorrobotic manipulationrobotic sensingtactile sensing

Identifiers

PMID42503880
PMCPMC13472318

What OpenQuestion holds

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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.