Evidence map›Paper›PMID 32290619›Full record

ArticleSensors (Basel, Switzerland)2020

Design of a Hyper-Redundant Robot and Teleoperation Using Mixed Reality for Inspection Tasks.

Andrés Martín-Barrio, Juan Jesús Roldán-Gómez, Iván Rodríguez, Jaime Del Cerro, Antonio Barrientos

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

5 authors.

Andrés Martín-BarrioCentre for Automation and Robotics (UPM-CSIC), José Gutiérrez Abascal, 2, 28006 Madrid, Spain.ORCID 0000-0002-2051-9155
Juan Jesús Roldán-GómezCentre for Automation and Robotics (UPM-CSIC), José Gutiérrez Abascal, 2, 28006 Madrid, Spain.ORCID 0000-0001-8863-4419
Iván RodríguezCentre for Automation and Robotics (UPM-CSIC), José Gutiérrez Abascal, 2, 28006 Madrid, Spain.
Jaime Del CerroCentre for Automation and Robotics (UPM-CSIC), José Gutiérrez Abascal, 2, 28006 Madrid, Spain.ORCID 0000-0003-4893-2571
Antonio BarrientosCentre for Automation and Robotics (UPM-CSIC), José Gutiérrez Abascal, 2, 28006 Madrid, Spain.ORCID 0000-0003-1691-3907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyper-redundant robots are highly articulated devices that present numerous technical challenges such as their design, control or remote operation. However, they offer superior kinematic skills than traditional robots for multiple applications. This work proposes an original and custom-made design for a discrete and hyper-redundant manipulator. It is comprised of 7 sections actuated by cables and 14 degrees of freedom. It has been optimized to be very robust, accurate and capable of moving payloads with high dexterity. Furthermore, it has been efficiently controlled from the actuators to high-level strategies based on the management of its shape. However, these highly articulated systems often exhibit complex shapes that frustrate their spatial understanding. Immersive technologies emerge as a good solution to remotely and safely teleoperate the presented robot for an inspection task in a hazardous environment. Experimental results validate the proposed robot design and control strategies. As a result, it is concluded that hyper-redundant robots and immersive technologies should play an important role in the near future of automated and remote applications.

Indexed as

designhyper-redundantIndustry 4.0inspectionmixed realityrobotteleoperation

Identifiers

PMID32290619
PMCPMC7218898

What OpenQuestion holds

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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.