Evidence map›Paper›PMID 36850591›Full record

ArticleSensors (Basel, Switzerland)2023

Manipulation Tasks in Hazardous Environments Using a Teleoperated Robot: A Case Study at CERN.

Cosimo Gentile, Giacomo Lunghi, Luca Rosario Buonocore, Francesca Cordella, Mario Di Castro, Alessandro Masi, Loredana Zollo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Cosimo GentileCentro Protesi Inail, Vigorso di Budrio, 40054 Bologna, Italy.ORCID 0000-0003-2726-0534
Giacomo LunghiSurvey, Measurement and Mechatronics (EN-SMM) Group, CERN, 1217 Geneva, Switzerland.ORCID 0000-0003-2395-2496
Luca Rosario BuonocoreSurvey, Measurement and Mechatronics (EN-SMM) Group, CERN, 1217 Geneva, Switzerland.ORCID 0000-0001-5396-2519
Francesca CordellaUnit of Advanced Robotics and Human-Centred Technologies, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-6946-0377
Mario Di CastroSurvey, Measurement and Mechatronics (EN-SMM) Group, CERN, 1217 Geneva, Switzerland.ORCID 0000-0002-2513-967X
Alessandro MasiSurvey, Measurement and Mechatronics (EN-SMM) Group, CERN, 1217 Geneva, Switzerland.ORCID 0000-0002-9237-3140
Loredana ZolloUnit of Advanced Robotics and Human-Centred Technologies, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0002-8015-010X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remote robotic systems are employed in the CERN accelerator complex to perform different tasks, such as the safe handling of cables and their connectors. Without dedicated control, these kinds of actions are difficult and require the operators' intervention, which is subjected to dangerous external agents. In this paper, two novel modules of the CERNTAURO framework are presented to provide a safe and usable solution for managing optical fibres and their connectors. The first module is used to detect touch and slippage, while the second one is used to regulate the grasping force and contrast slippage. The force reference was obtained with a combination of object recognition and a look-up table method. The proposed strategy was validated with tests in the CERN laboratory, and the preliminary experimental results demonstrated statistically significant increases in time-based efficiency and in the overall relative efficiency of the tasks.

Indexed as

force controlindustrial grippermobile robotsslippage detectionteleoperation

Identifiers

PMID36850591
PMCPMC9963582

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.