Evidence map›Paper›PMID 35056190›Full record

ArticleMicromachines2021

Multiple Bio-Inspired Father-Son Underwater Robot for Underwater Target Object Acquisition and Identification.

Ruochen An, Shuxiang Guo, Yuanhua Yu, Chunying Li, Tendeng Awa

Abstract read
In one paragraph

Article in Micromachines, 2021. 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

5 authors.

Ruochen AnGraduate School of Engineering, Kagawa University, Takamatsu 761-0396, Japan.ORCID 0000-0003-4198-4723
Shuxiang GuoGraduate School of Engineering, Kagawa University, Takamatsu 761-0396, Japan.
Yuanhua YuSchool of Life Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.
Chunying LiGraduate School of Engineering, Kagawa University, Takamatsu 761-0396, Japan.
Tendeng AwaGraduate School of Engineering, Kagawa University, Takamatsu 761-0396, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Underwater target acquisition and identification performed by manipulators having broad application prospects and value in the field of marine development. Conventional manipulators are too heavy to be used for small target objects and unsuitable for shallow sea working. In this paper, a bio-inspired Father-Son Underwater Robot System (FURS) is designed for underwater target object image acquisition and identification. Our spherical underwater robot (SUR), as the father underwater robot of the FURS, has the ability of strong dynamic balance and good maneuverability, can realize approach the target area quickly, and then cruise and surround the target object. A coiling mechanism was installed on SUR for the recycling and release of the son underwater robot. A Salamandra-inspired son underwater robot is used as the manipulator of the FURS, which is connected to the spherical underwater robot by a tether. The son underwater robot has multiple degrees of freedom and realizes both swimming and walking movement modes. The son underwater robot can move to underwater target objects. The vision system is installed to enable the FURS to acquire the image information of the target object with the aid of the camera, and also to identify the target object. Finally, verification experiments are conducted in an indoor water tank and outdoor swimming pool conditions to verify the effectiveness of the proposed in this paper.

Indexed as

bionic robotfather–son underwater robot systemhydrodynamic analysisspherical underwater robot

Identifiers

PMID35056190
PMCPMC8781731

What OpenQuestion holds

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LicenceCC BY
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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.