Evidence map›Paper›PMID 42177829›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Bioinspired High-Resolution, Wide-Range Pressure Sensor Enabled by Synergistic CB/CNT Island-Chain and PVDF/PDMS Fiber Network for Dexterous Robotic Hands.

Peng Cheng, Jinhua Hong, Yaofeng Hu, Yuchang Dong, Xiaotian Ding, Yulong Li, Chengzhong Wu, Xianen Zhou, Bo Wu, Lijuan Jiang and 1 more

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

11 authors.

Peng ChengSchool of Advanced Manufacturing, Nanchang University, Nanchang, China.
Jinhua HongSchool of Advanced Manufacturing, Nanchang University, Nanchang, China.ORCID https://orcid.org/0000-0003-3428-1130
Yaofeng HuJiangxi China Railway Engineering Equipment Co., Ltd, Nanchang, China.
Yuchang DongChina Railway Engineering Equipment Group Shield Manufacturing Co., Ltd, Zhengzhou, China.
Xiaotian DingWuhan Huaweike Intelligent Technology Co., Ltd, Wuhan, China.
Yulong LiSchool of Advanced Manufacturing, Nanchang University, Nanchang, China.
Chengzhong WuJiangxi Communication Terminal Industrial Technology Research Institute Co., Ltd, Ji'an, China.
Xianen ZhouJiangxi Communication Terminal Industrial Technology Research Institute Co., Ltd, Ji'an, China.
Bo WuJiangxi Communication Terminal Industrial Technology Research Institute Co., Ltd, Ji'an, China.
Lijuan JiangJiangxi Communication Terminal Industrial Technology Research Institute Co., Ltd, Ji'an, China.
Wangping YeJiangxi Communication Terminal Industrial Technology Research Institute Co., Ltd, Ji'an, China.

Funding

Jiangxi Provincial Natural Science Foundation 20242BAB25263Key Research and Development Program of Jiangxi Province, China 20252BCE310029National Natural Science Foundation of China 52565064National Science and Technology Major Project 2024ZD1600305
6 · The paper itself

Abstract

The integration of flexible electronics and robotics is critical for intelligent sensing in dexterous hands, where flexible pressure sensors enable precise grasping. However, existing pressure sensors are limited by low spatial resolution and the trade-off between sensitivity and pressure range. Here, we propose a bioinspired high-resolution, wide-range flexible pressure sensor based on a synergistic CB/CNT island-chain and PVDF/PDMS fibrous network. The two-layer architecture, inspired by human skin, incorporates a rhombic grid electrode design, achieving a spatial resolution of 80 cm

Indexed as

CB/CNT island‐chaindexterous handsflexible pressure sensorhigh‐resolution

Identifiers

PMID42177829
PMCPMC13378638

What OpenQuestion holds

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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.