Evidence map›Paper›PMID 36237843›Full record

ArticleFrontiers in robotics and AI2022

Influence of task decision autonomy on physical ergonomics and robot performances in an industrial human-robot collaboration scenario.

Matteo Pantano, Qiaoyue Yang, Adrian Blumberg, Raven Reisch, Tobias Hauser, Benjamin Lutz, Daniel Regulin, Tobias Kamps, Konstantinos Traganos, Dongheui Lee

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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. 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

10 authors.

Matteo PantanoFunctional Materials and Manufacturing Processes, Technology Department, Siemens Aktiengesellschaft, Munich, Germany.
Qiaoyue YangHuman-Centered Assistive Robotics (HCR), Department of Electrical and Computer Engineering, Technical University of Munich (TUM), Munich, Germany.
Adrian BlumbergFunctional Materials and Manufacturing Processes, Technology Department, Siemens Aktiengesellschaft, Munich, Germany.
Raven ReischFunctional Materials and Manufacturing Processes, Technology Department, Siemens Aktiengesellschaft, Munich, Germany.
Tobias HauserFunctional Materials and Manufacturing Processes, Technology Department, Siemens Aktiengesellschaft, Munich, Germany.
Benjamin LutzFunctional Materials and Manufacturing Processes, Technology Department, Siemens Aktiengesellschaft, Munich, Germany.
Daniel RegulinFunctional Materials and Manufacturing Processes, Technology Department, Siemens Aktiengesellschaft, Munich, Germany.
Tobias KampsFunctional Materials and Manufacturing Processes, Technology Department, Siemens Aktiengesellschaft, Munich, Germany.
Konstantinos TraganosIndustrial Engineering and Innovation Sciences, School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.
Dongheui LeeAutonomous Systems, Technische Universität Wien, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adoption of human-robot collaboration is hindered by barriers in collaborative task design. A new approach for solving these problems is to empower operators in the design of their tasks. However, how this approach may affect user welfare or performance in industrial scenarios has not yet been studied. Therefore, in this research, the results of an experiment designed to identify the influences of the operator's self-designed task on physical ergonomics and task performance are presented. At first, a collaborative framework able to accept operator task definition

Indexed as

autonomyhuman-robot collaboration (HRC)musculoskeletal disordersphysical ergonomicsRULA

Identifiers

PMID36237843
PMCPMC9551648

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.