Evidence map›Paper›PMID 40283335›Full record

ArticleMicromachines2025

HeSARIC: A Heterogeneous Cyber-Physical Robotic Swarm Framework for Structural Health Monitoring with Augmented Reality Representation.

Alireza Fath, Christoph Sauter, Yi Liu, Brandon Gamble, Dylan Burns, Evan Trombley, Sai Krishna Reddy Sathi, Tian Xia, Dryver Huston

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 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

9 authors.

Alireza FathDepartment of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA.ORCID 0000-0003-0941-1431
Christoph SauterDepartment of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA.
Yi LiuDepartment of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA.
Brandon GambleDepartment of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA.
Dylan BurnsDepartment of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA.
Evan TrombleyDepartment of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA.
Sai Krishna Reddy SathiDepartment of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA.ORCID 0009-0005-4136-3005
Tian XiaDepartment of Electrical and Biomedical Engineering, University of Vermont, Burlington, VT 05405, USA.
Dryver HustonDepartment of Mechanical Engineering, University of Vermont, Burlington, VT 05405, USA.ORCID 0000-0002-0957-0574

Funding

NASA EPSCoR 80NSSC23M0071U.S. National Science Foundation Awards 2119485 and 2345851Vermont Agency of Transportation 23-1
6 · The paper itself

Abstract

This study proposes a cyber-physical framework for the integration of a heterogeneous swarm of robots, sensors, microrobots, and AR for structural health monitoring and confined space inspection based on the application's unique challenges. The structural issues investigated are cracks in the walls, deformation of the structures, and damage to the culverts and devices commonly used in buildings. The PC and augmented reality interfaces are incorporated for human-robot collaboration to provide the necessary information to the human user while teleoperating the robots. The proposed interfaces use edge computing and machine learning to enhance operator interactions and to improve damage detection in confined spaces and challenging environments. The proposed swarm inspection framework is called HeSARIC.

Indexed as

confined space inspectionculvert inspectioncyber–physical systemheterogeneous swarmsemantic crack segmentationstructural health monitoring

Identifiers

PMID40283335
PMCPMC12029630

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.