Exploring Extended Reality to Optimize Human-Cobot Interaction

We explore the integration of extended reality technologies for advancing human-robot collaboration in manufacturing environments. Utilizing a commercial XR headset, the Meta Quest 3, we capture real-time hand and virtual object movements to intuitively control a Universal Robotics e-Series cobot. Our primary objective is to assess whether this interaction paradigm is intuitive for operators while effectively leveraging the cobot's capabilities. Data is streamed from the headset to a broker using MQTT. A local computing module subscribes to the data, translates coordinates into the robot's workspace, and generates control instructions for the cobot. Preliminary findings suggest that XR-based interaction can provide an immersive and efficient framework for human-robot collaboration. These results set the stage for further exploration of multi-user and multi-robot scenarios.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10973902
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
2.44

Funders

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article

Exploring Extended Reality to Optimize Human-Cobot Interaction

Rafael Guerra Silva, Javier Gonzalez-Sanchez
1 citations
Human-Automation Interaction and Safety
2.44
article

Exploring Extended Reality to Optimize Human-Cobot Interaction

Rafael Guerra Silva, Javier Gonzalez-Sanchez
article en
1 citations

Abstract

We explore the integration of extended reality technologies for advancing human-robot collaboration in manufacturing environments. Utilizing a commercial XR headset, the Meta Quest 3, we capture real-time hand and virtual object movements to intuitively control a Universal Robotics e-Series cobot. Our primary objective is to assess whether this interaction paradigm is intuitive for operators while effectively leveraging the cobot's capabilities. Data is streamed from the headset to a broker using MQTT. A local computing module subscribes to the data, translates coordinates into the robot's workspace, and generates control instructions for the cobot. Preliminary findings suggest that XR-based interaction can provide an immersive and efficient framework for human-robot collaboration. These results set the stage for further exploration of multi-user and multi-robot scenarios.

California Polytechnic State University (US)
Noyce Foundation
Openalex Percentile: Top 13%
Human-Automation Interaction and Safety
2.44
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Exploring Extended Reality to Optimize Human-Cobot Interaction — Rafael Guerra Silva, Javier Gonzalez-Sanchez · (2025) | TGRS Research Map | TGRS