Evidence map›Paper›PMID 41031320›Full record

ReviewChem & bio engineering2025

Anisotropic Tactile Sensors: Constructive Designs, Challenges, and Emerging Applications.

Jiaxing Zhang, Kaikai Zheng, Jingchen Ma, Mingfeng Chen, Xiuyu Wang, Fangle Chang, Shanshan Chen, Bin Ai, Zhengdong Cheng

Abstract readReview
In one paragraph

Review in Chem & bio engineering, 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

9 authors.

Jiaxing ZhangCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.
Kaikai ZhengCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.ORCID https://orcid.org/0000-0002-6795-1148
Jingchen MaCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.
Mingfeng ChenCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.
Xiuyu WangInstitute of Process Equipment, Zhejiang University, Hangzhou, Zhejiang 310058, China.ORCID https://orcid.org/0000-0001-6293-988X
Fangle ChangNingbo Innovation Center, Zhejiang University, Ningbo 315100, China.
Shanshan ChenMOE Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, School of Energy & Power Engineering, Chongqing University, Chongqing 400044, China.ORCID https://orcid.org/0000-0001-9723-2403
Bin AiLaboratory of Bio-Perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 401331, China.ORCID https://orcid.org/0000-0002-0502-9166
Zhengdong ChengCollege of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.ORCID https://orcid.org/0000-0001-7720-1909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in human-machine interaction technologies have driven significant interest in tactile sensors for health monitoring, movement detection, and the progression of intelligent robotics. However, most existing sensors rely on isotropic materials or structures, limiting their ability to detect stimuli from multiple directions simultaneously, which can be efficiently mitigated by incorporating anisotropic architectures. Despite their promising potential, the development of anisotropic tactile sensors remains nascent and necessitates more comprehensive synthesis and generalization of the current state. This review offers a thorough analysis of anisotropic tactile sensors, delving into their sensing mechanisms, performance metrics, materials, and structural designs. It also explores their applications in intelligent systems and critically evaluates the current developmental status and outlines the challenges to be addressed, providing essential insights and innovative solutions to propel advancements in this emerging research area.

Indexed as

anisotropicconstruct designhuman−machine interactiontactile sensorswearable

Identifiers

PMID41031320
PMCPMC12478554

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.