Visual Assistance in VR-based Robot Control: Towards a Reproducible Evaluation Scenario
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.
Authors
- Ludovic Le Bigot (ORCID: https://orcid.org/0000-0003-1951-8793)
- Kathleen Belhassein (ORCID: https://orcid.org/0000-0001-9749-7903)
- Célestin Preault (ORCID: https://orcid.org/0000-0003-0621-9663)
- Nicolas Louveton (ORCID: https://orcid.org/0000-0002-9021-2589)
- Cécile R. Scotto (ORCID: https://orcid.org/0000-0002-7139-2502)
- Jean Pylouster (ORCID: https://orcid.org/0000-0001-5842-3274)
- Jean‐Pierre Gazeau (ORCID: https://orcid.org/0000-0001-7681-7672)
- Pierre Laguillaumie (ORCID: https://orcid.org/0000-0002-7386-3881)
- Marine Desvergnes (ORCID: https://orcid.org/0009-0002-2123-8061)
Institutions
- Centre National de la Recherche Scientifique (FR)
- École Nationale Supérieure de Mécanique et d'Aérotechnique (FR)
- Université de Poitiers (FR)
- Centre de Recherches sur la Cognition et l'Apprentissage (FR)
- Centre d'Etudes Superieures Industrielles (FR)
Publication Details
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1109/vrw66409.2025.00371
- Primary Topic
- Virtual Reality Applications and Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00