Evidence map›Paper›PMID 41157467›Full record

ArticleSensors (Basel, Switzerland)2025

An Integrated Experimental System for Unmanned Underwater Vehicle Swarm Control.

Yutao Chen, Xingwei Zhou, Wenshan Hu, Bo Zhao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yutao ChenNaval University of Engineering, Wuhan 430030, China.
Xingwei ZhouWuhan University, Wuhan 430072, China.ORCID 0000-0002-5712-1167
Wenshan HuWuhan University, Wuhan 430072, China.ORCID 0000-0002-1341-5921
Bo ZhaoNaval University of Engineering, Wuhan 430030, China.

Funding

National Natural Science Foundation of China 62173255, 62188101, 62073247 and 62103308National Science Foundation of Hubei Province of China 2024AFB719
6 · The paper itself

Abstract

Unmanned Underwater Vehicle (UUV) swarms have become increasingly crucial for underwater exploration and applications, where their coordinated operation offers significant advantages over single-vehicle systems. However, unlike single-vehicle systems, the development of swarm control systems is more complicated, especially because there are limited integrated toolchains that can cover both global scheme design and individual vehicle implementation. Engineers may have to develop a global scheme and then partition it manually for individual vehicle implementation, which can result in substantial efficiency losses. To address this difficulty, an integrated experimental framework is developed to support the complete workflow of UUV swarm control development, from unified algorithm design and system simulation to automated code generation and individual deployment. The architecture of the proposed platform incorporates three principal elements: a global simulation environment that enables virtual validation of swarm collective behavior, a rapid prototyping module that facilitates code generation/partitioning and individual implementation, and a digital twin visualization component that provides real-time monitoring capabilities. A case study demonstrates that the platform can integrate global design with individual implementation. In a comparative experiment where the same engineering team implemented a three-UUV formation control algorithm, the use of our platform reduced the time from algorithm design to successful deployment from an estimated 6 h (using manual coding and integration) to under one hour, representing about an 80% reduction in development time.

Indexed as

digital twin systemintegrated experimental platformrapid prototyping and simulationunmanned underwater vehicle swarm control

Identifiers

PMID41157467
PMCPMC12567607

What OpenQuestion holds

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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.