Aug 2026· Machines· Vol 14, pp. 972· 0 citations· 10 references
TL;DR
A digital twin of a smart production cell, synchronizing objects bidirectionally between a real and virtual workspace with minimal effort using only a single RGB-D camera is presented, providing a framework to see, spawn, and synchronize industrial workspaces.
Abstract
With Industry 5.0, human–robot collaboration has become the center of attention. This has introduced new challenges, where workspaces become highly dynamic, leading to safety concerns for robots and especially for humans. This makes it important to have a realistic and accurate digital representation of a production cell and its components in environments for movement planning and remote supervision. This paper presents a digital twin of a smart production cell, synchronizing objects bidirectionally between a real and virtual workspace with minimal effort using only a single RGB-D camera. A fine-tuned YOLO-based detector identifies tools and items in the scene, estimates their spatial position, and spawns them in Unity relative to the robot via coordinate transformation. Experiments with different scanning velocities demonstrate a mean planar spawn deviation of 5.82mm (standard deviation 2.24mm) at 0.1m/s at 0.7m height, while maintaining a constant depth bias of −0.54mm. Once spawned, objects can be manipulated freely via drag-and-drop within the simulation. Upon confirmation, a motion planning module calculates trajectories to execute these changes physically. Across 95 trials and 1805 object placements, the system achieves 100% success within working bounds, successfully executing complex tasks such as repositioning objects and stacking them into pyramid structures. The presented system provides a framework to see, spawn, and synchronize industrial workspaces, enabling rapid setup and safe remote supervision of smart production cells in highly dynamic industrial environments.
Background: Digital twins (DTs) are a key technology of Industry 4.0 and play a crucial role in the digital transformation of industry. The education of experts for the needs of Industry 4.0 and the emerging 5.0 must align with the requirements of practice. However, the availability of these technologies for educationa...
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Service and humanoid robots rely on dependable visual perception systems, commonly built around industrial cameras that expose heterogeneous connectivity protocols such as USB3 Vision and GigE Vision. This work presents an acquisition middleware for cameras compliant with the GenICam standard, implemented as a YARP dev...
Á. Santos-García, Bartek Łukawski, Juan G. Victores et al.· Jornadas de Automática· 0 citations
This study focuses on the design and development of a real-time digital twin of a multi-agent robotic system utilizing the NVIDIA Omniverse platform. Multi-agent robotic systems and their Digital Twin systems often struggle to make effective, collaborative decision-making in a dynamic environment. These limitations are...
Seonho Woo, Seung-Ho Woo, Md Tariqul Islam et al.· IISE Annual Conference &...· 0 citations
Collecting real-world robot data for dexterous manipulation is costly and time-consuming. While high-fidelity physics simulators enable scalable data synthesis and policy learning, constructing deployment-ready digital twins manually remains labor-intensive, and residual visual, geometric, and dynamics gaps hinder reli...
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A highly flexible, wireless, 5G-based system that serves as a versatile experimental testbed for applications including remanufacturing, operator training, and user studies, and revealed practical limitations related to interoperability in current 5G deployments that should be addressed in future works.
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