Evidence map›Paper›PMID 39604388›Full record

ArticleNature communications2024

A maneuverable underwater vehicle for near-seabed observation.

Kaixin Liu, Mingxuan Ding, Biye Pan, Peiye Yu, Dake Lu, Siwen Chen, Shuo Zhang, Gang Wang

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

8 authors.

Kaixin Liu *National Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University, Harbin, 150001, China.ORCID http://orcid.org/0000-0002-8197-9657
Mingxuan Ding *National Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University, Harbin, 150001, China.ORCID http://orcid.org/0000-0003-3541-2358
Biye PanNational Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University, Harbin, 150001, China.ORCID http://orcid.org/0000-0003-1881-593X
Peiye YuNational Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University, Harbin, 150001, China.ORCID http://orcid.org/0000-0003-2923-2465
Dake LuNational Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University, Harbin, 150001, China.ORCID http://orcid.org/0009-0005-2153-9982
Siwen ChenNational Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University, Harbin, 150001, China.ORCID http://orcid.org/0009-0003-4928-6855
Shuo ZhangNational Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University, Harbin, 150001, China.ORCID http://orcid.org/0009-0002-1533-5287
Gang WangNational Key Laboratory of Autonomous Marine Vehicle Technology, Harbin Engineering University, Harbin, 150001, China. wanggang@hrbeu.edu.cn.ORCID http://orcid.org/0000-0002-0741-9838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Underwater robots can collect comprehensive information on species and habitats when conducting seabed operations, enhancing localized insights and expanding underwater ecological understanding. One approach uses autonomous underwater vehicles, but proximity operations may disturb sediments and compromise observation quality. Another approach uses wheeled or legged benthic robots, but unavoidable contact limits their application in delicate ecosystems like coral reefs. To address these challenges, we propose a maneuverable underwater vehicle for near-seabed observations. This vehicle moves with minimal turbulence and shows strong resistance to external disturbances, enabling high-quality seabed observation as close as 20 cm. It rapidly detects intense disturbances like turbulence and wall effects, allowing real-time path planning to prevent bottoming. Multiple tests in various marine environments, including sandy areas, coral reefs, and sheer rock, show low sediment disturbance and improved adaptability to rugged underwater terrain.

Identifiers

PMID39604388
PMCPMC11603053

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.