Evidence map›Paper›PMID 36381512›Full record

ArticleNanoscale advances2022

A wireless "Janus" soft gripper with multiple tactile sensors.

Lei Han, Rui Wang, Yupeng Dong, Xun Zhang, Chenggen Wu, Xiaoguang Zhao

Abstract read
In one paragraph

Article in Nanoscale advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Lei HanKey Laboratory of MEMS of the Ministry of Education, Southeast University Nanjing 210096 China hanlei@seu.edu.cn.ORCID https://orcid.org/0000-0003-3504-5412
Rui WangKey Laboratory of MEMS of the Ministry of Education, Southeast University Nanjing 210096 China hanlei@seu.edu.cn.ORCID https://orcid.org/0000-0002-1079-7530
Yupeng DongKey Laboratory of MEMS of the Ministry of Education, Southeast University Nanjing 210096 China hanlei@seu.edu.cn.
Xun ZhangKey Laboratory of MEMS of the Ministry of Education, Southeast University Nanjing 210096 China hanlei@seu.edu.cn.
Chenggen WuKey Laboratory of MEMS of the Ministry of Education, Southeast University Nanjing 210096 China hanlei@seu.edu.cn.
Xiaoguang ZhaoDepartment of Precision Instruments, Tsinghua University Beijing 100084 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomimetic properties allow soft robots to complexly interact with the environment. As the bridge between the robot and the operating object, the gripping hand is an important organ for its connection with the outside world, which requires the ability to provide feedback from the grasped object, similar to the human sensory and nervous system. In this work, to cope with the difficulty of integrating complex sensing and communication systems into flexible soft grippers, we propose a GO/PI composite bilayer film-based gripper with two types of tactile sensors and a LC passive wireless transmission module to obtain the grip information and transmit it to the processor. The bilayer film structure demonstrates good photothermal driving performance. Pressure and material sensors are located at the tips of the gripper's fingers to acquire tactile information which is wirelessly transmitted to the processor for analysis

Identifiers

PMID36381512
PMCPMC9642356

What OpenQuestion holds

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LicenceCC BY-NC
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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.