Evidence map›Paper›PMID 40595584›Full record

ArticleNature communications2025

An ultralight, tiny, flexible six-axis force/torque sensor enables dexterous fingertip manipulations.

Qian Mao, Zijian Liao, Shiqiang Liu, Jinfeng Yuan, Rong Zhu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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

5 authors.

Qian MaoState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-4244-6903
Zijian LiaoState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0008-8329-9437
Shiqiang LiuState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.
Jinfeng YuanState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-4328-4595
Rong ZhuState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, China. zr_gloria@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-5363-9519

Funding

China Postdoctoral Science Foundation 2023M742014National Natural Science Foundation of China (National Science Foundation of China) 51735007National Youth Foundation of China 62401333Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) L247001
6 · The paper itself

Abstract

Multi-dimensional mechanoreceptors are crucial for both humans and robots, providing omnidirectional force/torque senses to ensure dexterous and precise manipulations. Current six-axis force/torque sensors are bulky, heavy, and rigid with complicated sensing structures and high-cost manufacture. Although flexible force sensors have emerged recently, their perceptive dimension and performance are limited and still unsatisfactory for practical applications. Here, we propose an ultralight (0.30 g), tiny (fingertip size), and flexible six-axis force/torque sensor with a simple structure and low-cost fabrication. The sensor accurately perceives six-dimensional force/torque via capturing the spatial strain field of an elastic piezo-thermic material utilizing web-like scattered thin-film thermoreceptors. Integrating the sensor on the fingertip of humans or robots, we or robots can dexterously manipulate objects (e.g., open bottle cap), play games, and accomplish human-robot collaborative operations via easy fingertip-touch, demonstrating a broad prospect in applications of helping disabled and elderly people, intelligent robots, and virtual reality.

Indexed as

FingersRoboticsEquipment DesignHumansMechanoreceptorsTouch

Identifiers

PMID40595584
PMCPMC12214963

What OpenQuestion holds

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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.