Evidence map›Paper›PMID 38696643›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

All-Printed Finger-Inspired Tactile Sensor Array for Microscale Texture Detection and 3D Reconstruction.

Yilin Wang, Jiafeng Zhao, Xu Zeng, Jingwen Huang, Yading Wen, Juergen Brugger, Xiaosheng Zhang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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.

Yilin WangSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Jiafeng ZhaoSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Xu ZengSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Jingwen HuangSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Yading WenSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Juergen BruggerMicrosystems Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland.ORCID https://orcid.org/0000-0002-7710-5930
Xiaosheng ZhangSchool of Integrated Circuit Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Funding

Fundamental Research Funds for the Central Universities ZYGX2019Z002Key R&D Program of Sichuan Province 2020ZHCG0038Key R&D Program of Sichuan Province 2022JDTD0020National Key Research and Development Program of China 2022YFB3206100National Natural Science Foundation of China 51905554National Natural Science Foundation of China 61905035National Natural Science Foundation of China 61971108National Natural Science Foundation of China 62004029National Natural Science Foundation of China 62074029Natural Science Foundation of Sichuan 2022NSFSC1941Sichuan Science and Technology Program 2019YJ0198Sichuan Science and Technology Program 2020JDJQ0036Sichuan Science and Technology Program 2020YJ0015
6 · The paper itself

Abstract

Electronic skins are expected to replicate a human-like tactile sense, which significantly detects surface information, including geometry, material, and temperature. Although most texture features can be sensed in the horizontal direction, the lack of effective approaches for detecting vertical properties limits the development of artificial skin based on tactile sensors. In this study, an all-printed finger-inspired tactile sensor array is developed to realize the 3D detection and reconstruction of microscale structures. A beam structure with a suspended multilayer membrane is proposed, and a tactile sensor array of 12 units arranged in a dual-column layout is developed. This architecture enables the tactile sensor array to obtain comprehensive geometric information of micro-textures, including 3D morphology and clearance characteristics, and optimizes the 3D reconstruction patterns by self-calibration. Moreover, an innovative screen-printing technology incorporating multilayer printing and sacrificial-layer techniques is adopted to print the entire device. In additon, a Braille recognition system utilizing this tactile sensor array is developed to interpret Shakespeare's quotes printed in Grade 2 Braille. The abovementioned demonstrations reveal an attractive future vision for endowing bioinspired robots with the unique capability of touching and feeling the microscale real world and reconstructing it in the cyber world.

Indexed as

all‐printedbio‐inspiredbraille recognitionshuman‐machine interfacestactile sensorstexture detectionstexture reconstructions

Identifiers

PMID38696643
PMCPMC11234443

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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.