Evidence map›Paper›PMID 36014192›Full record

ArticleMicromachines2022

Vision Feedback Control for the Automation of the Pick-and-Place of a Capillary Force Gripper.

Takatoshi Ito, Eri Fukuchi, Kenta Tanaka, Yuki Nishiyama, Naoto Watanabe, Ohmi Fuchiwaki

Abstract read
In one paragraph

Article in Micromachines, 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.

Takatoshi ItoDepartment of Mechanical Engineering, Yokohama National University, Yokohama 240-8501, Japan.
Eri FukuchiDepartment of Mechanical Engineering, Yokohama National University, Yokohama 240-8501, Japan.
Kenta TanakaDepartment of Mechanical Engineering, Yokohama National University, Yokohama 240-8501, Japan.
Yuki NishiyamaDepartment of Mechanical Engineering, Yokohama National University, Yokohama 240-8501, Japan.
Naoto WatanabeDepartment of Mechanical Engineering, Yokohama National University, Yokohama 240-8501, Japan.
Ohmi FuchiwakiDepartment of Mechanical Engineering, Yokohama National University, Yokohama 240-8501, Japan.ORCID 0000-0003-2357-2899

Funding

Yokohama National University Publication Support Grant NA
6 · The paper itself

Abstract

In this paper, we describe a newly developed vision feedback method for improving the placement accuracy and success rate of a single nozzle capillary force gripper. The capillary force gripper was developed for the pick-and-place of mm-sized objects. The gripper picks up an object by contacting the top surface of the object with a droplet formed on its nozzle and places the object by contacting the bottom surface of the object with a droplet previously applied to the place surface. To improve the placement accuracy, we developed a vision feedback system combined with two cameras. First, a side camera was installed to capture images of the object and nozzle from the side. Second, from the captured images, the contour of the pre-applied droplet for placement and the contour of the object picked up by the nozzle were detected. Lastly, from the detected contours, the distance between the top surface of the droplet for object release and the bottom surface of the object was measured to determine the appropriate amount of nozzle descent. Through the experiments, we verified that the size matching effect worked reasonably well; the average placement error minimizes when the size of the cross-section of the objects is closer to that of the nozzle. We attributed this result to the self-alignment effect. We also confirmed that we could control the attitude of the object when we matched the shape of the nozzle to that of the sample. These results support the feasibility of the developed vision feedback system, which uses the capillary force gripper for heterogeneous and complex-shaped micro-objects in flexible electronics, micro-electro-mechanical systems (MEMS), soft robotics, soft matter, and biomedical fields.

Indexed as

capillary forcemicromanipulationnon-contactvision feedbackwater

Identifiers

PMID36014192
PMCPMC9413825

What OpenQuestion holds

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LicenceCC BY
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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.