Evidence map›Paper›PMID 36466736›Full record

ArticleFrontiers in robotics and AI2022

Autonomous control for miniaturized mobile robots in unknown pipe networks.

T L Nguyen, A Blight, A Pickering, G Jackson-Mills, A R Barber, J H Boyle, R Richardson, M Dogar, N Cohen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

4 citing papers in PubMed, 29 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

T L NguyenSchool of Computing, University of Leeds, Leeds, United Kingdom.
A BlightSchool of Mechanical Engineering, University of Leeds, Leeds, United Kingdom.
A PickeringSchool of Mechanical Engineering, University of Leeds, Leeds, United Kingdom.
G Jackson-MillsSchool of Mechanical Engineering, University of Leeds, Leeds, United Kingdom.
A R BarberSchool of Mechanical Engineering, University of Leeds, Leeds, United Kingdom.
J H BoyleFaculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.
R RichardsonSchool of Mechanical Engineering, University of Leeds, Leeds, United Kingdom.
M DogarSchool of Computing, University of Leeds, Leeds, United Kingdom.
N CohenSchool of Computing, University of Leeds, Leeds, United Kingdom.
University of Leeds · GBDelft University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite recent advances in robotic technology, sewer pipe inspection is still limited to conventional approaches that use cable-tethered robots. Such commercially available tethered robots lack autonomy, and their operation must be manually controlled

Indexed as

autonomous controlexhaustive searchexplorationinfrastructure robotin-pipe robotminiature robotnavigationwater & sewer pipes

Identifiers

PMID36466736
PMCPMC9709324
OpenAlexW4309313940

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.