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Related Experiment Video

Updated: Jun 27, 2025

Operation of the Collaborative Composite Manufacturing CCM System

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

Human-cobot collaboration's impact on success, time completion, errors, workload, gestures and acceptability during

Étienne Fournier¹, Christine Jeoffrion¹, Belal Hmedan²

¹Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, LIP/PC2S, 38000, Grenoble, France.

Applied Ergonomics

|May 7, 2024

Summary

Collaborative robots (cobots) in Industry 5.0 impact human workload and task quality. While cobot collaboration aids success, it increases task completion time and gestures compared to human-human teams.

Keywords:

5.0 industry Acceptability Collaborative robot Workload

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Last Updated: Jun 27, 2025

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Area of Science:

Human-robot interaction
Industrial automation
Industry 5.0

Background:

Industry 5.0 emphasizes human-robot collaboration.
Collaborative robots (cobots) are key to this shift.
Understanding cobot impacts on human workers is crucial.

Purpose of the Study:

To investigate the effects of human-cobot collaboration versus human-human collaboration.
To measure workload, task quality, and efficiency in different collaboration setups.
To assess the acceptability of cobotic collaboration in assembly tasks.

Main Methods:

An experimental setup with 120 participants performing simple and complex assembly tasks.
Comparison between human-human (H/H) and human-cobot (H/C) collaboration groups.
Measurement of human workload, task output quality, completion time, and gestures.

Main Results:

Cobot collaboration mitigates the negative impact of task complexity on human workload and output quality.
Human-cobot teams showed a higher success rate but required more time and gestures.
Task complexity had less effect on workload and quality in H/C compared to H/H teams.

Conclusions:

Cobots can enhance production chains by improving task success rates and quality.
Implementation requires consideration of increased time and gesture requirements.
Findings inform developers and stakeholders on optimizing human-cobot integration.