Evidence map›Paper›PMID 36216851›Full record

ArticleScientific reports2022

Active tactile sensing of small insect force by a soft microfinger toward microfinger-insect interactions.

Satoshi Konishi, Fuminari Mori, Yugo Kakehi, Ayano Shimizu, Fumiya Sano, Kodai Koyanagi

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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.

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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.

Satoshi KonishiDepartment of Mechanical Engineering, College of Science and Engineering, Ritsumeikan University, Kusatsu, 525-8577, Japan. konishi@se.ritsumei.ac.jp.
Fuminari MoriGraduate Course of Science and Engineering, Ritsumeikan University, Kusatsu, 525-8577, Japan.
Yugo KakehiGraduate Course of Science and Engineering, Ritsumeikan University, Kusatsu, 525-8577, Japan.
Ayano ShimizuGraduate Course of Science and Engineering, Ritsumeikan University, Kusatsu, 525-8577, Japan.
Fumiya SanoGraduate Course of Science and Engineering, Ritsumeikan University, Kusatsu, 525-8577, Japan.
Kodai KoyanagiGraduate Course of Science and Engineering, Ritsumeikan University, Kusatsu, 525-8577, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human-robot interaction technology has contributed to improving sociality for humanoid robots. At scales far from human scales, a microrobot can interact with an environment in a small world. Microsensors have been applied to measurement of forces by flying or walking insects. Meanwhile, most previous works focused on the measurement of the behavior of insects. Here, we propose microrobot-insect interactions by soft microfingers integrated with artificial muscle actuators and tactile sensors, which has been developed for a haptic teleoperation robot system. A soft pneumatic balloon actuator acts as the artificial muscle, and a flexible strain sensor using a liquid metal provides tactile sensing. Force interaction between a pill bug and the microfinger could be accomplished. The microfinger (12 mm × 3 mm × 490 μm) can move and touch an insect, and it can detect reaction force from an insect. The measured reaction force from the legs of a pill bug as a representative insect was less than 10 mN. This paper presents a microfinger as an end effector for the active sensing of reaction force from a small insect. We anticipate that our results will lead to further evaluation of small living things as well as technology development for human-environment interaction.

Indexed as

RoboticsTouch PerceptionAnimalsHumansInsectaMechanical PhenomenaTouch

Identifiers

PMID36216851
PMCPMC9550801

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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.