Evidence map›Paper›PMID 41680124›Full record

ArticleMicrosystems & nanoengineering2026

Soft sensor for omnidirectional posture perception in humanoid dexterous hands.

Liang Zhong, Xiaoqing Tian, Jiyong Wang, Xian Song, Jianfeng Li, Yuxin Peng

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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

6 authors.

Liang ZhongInstitute of Exercise Science and Health Engineering, Zhejiang University, Hangzhou, 310058, China.
Xiaoqing TianSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China.
Jiyong WangSchool of Electronic and Information, Hangzhou Dianzi University, Hangzhou, 310018, China.
Xian SongInstitute of Exercise Science and Health Engineering, Zhejiang University, Hangzhou, 310058, China.
Jianfeng LiDepartment of Electronics, Lishui University, Lishui, 323000, China.
Yuxin PengInstitute of Exercise Science and Health Engineering, Zhejiang University, Hangzhou, 310058, China. yxpeng@zju.edu.cn.ORCID http://orcid.org/0000-0002-8121-4814

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52105563National Natural Science Foundation of China (National Science Foundation of China) 52475573Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LTGY23E050002
6 · The paper itself

Abstract

This study presents the development of a novel omnidirectional soft bending sensor tailored for humanoid dexterous hands to facilitate posture perception in delicate manipulation tasks. Drawing inspiration from the human hand's intricate design and proprioceptive capabilities, this study aims to enhance the dexterity of robotic hands, particularly in multi-degree-of-freedom (DoF) motion and posture perception. To this end, we designed a humanoid dexterous hand featuring 18 active DoFs, with five rigid-flexible structured fingers for improved joint mobility. Each finger is equipped with our innovative omnidirectional bending sensor, utilizing segmented polymethylmethacrylate (PMMA) optical fibers, a trichromatic LED, and a chromatic detector to detect the pitch and yaw angles of the metacarpophalangeal joints. The sensor demonstrated excellent measurement performance, stability, and repeatability in challenging tasks such as using scissors, operating a computer mouse, and playing the piano. This technology addresses the challenges associated with multi-DoF motion and omnidirectional posture perception in robotic hands, thereby enhancing their capabilities in delicate manipulation tasks and paving the way for further advancements in humanoid dexterous hand development.

Identifiers

PMID41680124
PMCPMC12901006

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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.