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Industrial Use-Case: Digital Twin for Autonomous Earthwork in Virtual-Reality

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Résumé

While advances in autonomous robotics and earthwork automation are paving the way for the construction site of tomorrow by means of fleets of autonomous machinery, they also force the issue of the supervision of such machines when they get stuck or stop for safety. When traditional supervision approaches impose an operator to stay on site and physically reach into the paused machine to re-gain control, our method consists in controlling the machines remotely in VR by leveraging a digital twin of the machine in its environment, fulled by LiDAR mapping. Our approach also allows the supervisor to orchestrate the autonomous fleet by means of a high-level "bird-view"interface of the whole site. As an attempt to help designing the tools of future earthwork supervisors, our preliminary results demonstrate the feasibility of a VR digital-twin approach for single-machine control, coupled with a 2D fleet-level control interface.

langue originaleAnglais
titreProceedings - Web3D 2022
Sous-titre27th ACM Conference on 3D Web Technology
rédacteurs en chefStephen N. Spencer
EditeurAssociation for Computing Machinery, Inc
ISBN (Electronique)9781450399142
Les DOIs
étatPublié - 2 nov. 2022
Evénement27th ACM Conference on 3D Web Technology, Web3D 2022 - Evry, France
Durée: 2 nov. 20224 nov. 2022

Série de publications

NomProceedings - Web3D 2022: 27th ACM Conference on 3D Web Technology

Une conférence

Une conférence27th ACM Conference on 3D Web Technology, Web3D 2022
Pays/TerritoireFrance
La villeEvry
période2/11/224/11/22

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