Evidence map›Paper›PMID 36687281›Full record

ArticleProcedia computer science2023

Human Robot Collaboration in Industry 4.0: a literature review.

Alessio Baratta, Antonio Cimino, Maria Grazia Gnoni, Francesco Longo

Abstract read
In one paragraph

Article in Procedia computer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Active interaction strategy generation for human-robot collaboration based on trust.Visual computing for industry, biomedicine, and art · 2025
    Article
  5. 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

4 authors.

Alessio BarattaUniversity of Calabria, Via P. Bucci 45C, Rende, 87036, Italy.
Antonio CiminoUniversity of Salento, Piazza Tancredi 7, Lecce, 73100, Italy.
Maria Grazia GnoniUniversity of Salento, Piazza Tancredi 7, Lecce, 73100, Italy.
Francesco LongoUniversity of Calabria, Via P. Bucci 45C, Rende, 87036, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological developments through the fourth industrial revolution (Industry 4.0) jointly with the global COVID-19 pandemic have brought about a change in life and work of almost all existing professionals. Some researchers argue how the fifth industrial revolution will approach the fourth much sooner than all previous industrial revolutions. In fact, several sources start talking about the fifth industrial revolution, although the paradigms that will define its context and areas of development are still unclear. This research study focuses on one of the foundational aspects of the fourth industrial revolution and which already has the basis for being projected into the fifth industrial revolution and thus the possibility to be taken to the next level: Human-Robot Collaboration. A state-of-the-art study and a bibliometric analysis have been carried out in order to identify research trends related to this paradigm. In addition, the authors present a definition of HRC trying to describe its main characteristics and the key aspects that identify it. In the second part of the paper, a summary of the main research trends is presented, reporting some significant case studies.

Indexed as

bibliometric analysisHuman-Robot CollaborationIndustry 4.0.

Identifiers

PMID36687281
PMCPMC9836495

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.