Evidence map›Paper›PMID 40871941›Full record

ArticleSensors (Basel, Switzerland)2025

High-Density Tactile Sensor Array for Sub-Millimeter Texture Recognition.

Chengran Cao, Guocheng Wang, Yixin Liu, Min Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

4 authors.

Chengran CaoShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Guocheng WangShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID 0000-0002-7064-6830
Yixin LiuShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Min ZhangShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID 0000-0003-2219-8030

Funding

National Nature Science Foundation of China 52475306Shenzhen Fundamental Research Funds JCYJ20220530143011026
6 · The paper itself

Abstract

High-density tactile sensor arrays that replicate human touch could restore texture perception in paralyzed individuals. However, conventional tactile sensor arrays face inherent trade-offs between spatial resolution, sensitivity, and crosstalk suppression due to microstructure size limitations and signal interference. To address this, we developed a tactile sensor featuring 10 μm-scale pyramid tips that achieve ultra-high sensitivity (8.082 kPa

Indexed as

carbon nanotubehigh-density arraymicrostructuretactile sensortexture recognition

Identifiers

PMID40871941
PMCPMC12390072

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.