Evidence map›Paper›PMID 33049953›Full record

ArticleMicromachines2020

Printed Soft Sensor with Passivation Layers for the Detection of Object Slippage by a Robotic Gripper.

Reo Miura, Tomohito Sekine, Yi-Fei Wang, Jinseo Hong, Yushi Watanabe, Keita Ito, Yoshinori Shouji, Yasunori Takeda, Daisuke Kumaki, Fabrice Domingues Dos Santos and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Reo MiuraResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.
Tomohito SekineResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.
Yi-Fei WangResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.
Jinseo HongResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.
Yushi WatanabeResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.
Keita ItoResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.
Yoshinori ShoujiResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.
Yasunori TakedaResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.ORCID 0000-0001-6976-2749
Daisuke KumakiResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.
Fabrice Domingues Dos SantosPiezotech S. A. S., Arkema-CRRA, Rue Henri Moissan, 63493 Pierre-Benite Cedex, France.
Atsushi MiyaboArkema K. K., 2-2-2 Uchisaiwaicho, Chiyoda-ku, Tokyo 100-0011, Japan.
Shizuo TokitoResearch Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tactile sensing, particularly the detection of object slippage, is required for skillful object handling by robotic grippers. The real-time measurement and identification of the dynamic shear forces that result from slippage events are crucial for slip detection and effective object interaction. In this study, a ferroelectric polymer-based printed soft sensor for object slippage detection was developed and fabricated by screen printing. The proposed sensor demonstrated a sensitivity of 8.2 μC·cm

Indexed as

dynamic friction coefficientroboticsshear forcesoft sensorwearable sensing

Identifiers

PMID33049953
PMCPMC7599578

What OpenQuestion holds

Textmetadata
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.