Communication Dans Un Congrès Année : 2023

Visual Assistance in VR-based Robot Control: Towards a Reproducible Evaluation Scenario

Résumé

Immersive technologies enhance industrial applications by creating virtual representations of manufacturing environments and providing visual assistance for tasks. Most studies in the literature are based on ad hoc scenarios, making comparison across studies challenging. In this research, 99 participants controlled a remote industrial robot using a VR headset in a reproducible maintenance task. They performed the task under three conditions: without assistance (control), text-based assistance, or attentional cueing (highlighting objects). We manipulated task difficulty (easy versus difficult) and assessed performance based on completion time and failure rate. Results showed visual assistance significantly shortened task completion time, with findings discussed.

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Dates et versions

hal-05023671 , version 1 (07-04-2025)

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  • HAL Id : hal-05023671 , version 1

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Marine Desvergnes, Cécile Scotto Di Cesare, Kathleen Belhassein, Célestin Préault, Jean Pylouster, et al.. Visual Assistance in VR-based Robot Control: Towards a Reproducible Evaluation Scenario. 32nd IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2025), Mar 2025, Saint Malo, France. ⟨hal-05023671⟩
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