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Potentials of the Metaverse for Robotized Applications in Industry 4.0 and Industry 5.0

Eric Guiffo Kaigom

TL;DR

The paper addresses how the Metaverse can bridge Industry 4.0's automation with Industry 5.0's human-centric resilience for robotized applications. It proposes a Metaverse-based architecture featuring virtual collaboration spaces, digital twins, embodied avatars, and three AI-enabled functionalities—generative AI, collective intelligence, and transfer learning—to enrich data, knowledge, and transfer to real robots. A key contribution is the shared autonomy/arbitration framework $h(u_h,u_a) = \lambda u_h + (1-\lambda)u_a$, that mediates human-robot control within a bidirectional loop across the Metaverse. It also discusses practical mechanisms, including OpenUSD-based vCS, RDF knowledge graphs, GAN/cGAN data generation, and NLP-enabled control to realize scalable, safe, and inclusive robotized workflows. The work highlights opportunities and challenges, notably standardization, security, privacy, and the need for globally shared foundation models to accelerate deployment across diverse industries.

Abstract

As a digital environment of interconnected virtual ecosystems driven by measured and synthesized data, the Metaverse has so far been mostly considered from its gaming perspective that closely aligns with online edutainment. Although it is still in its infancy and more research as well as standardization efforts remain to be done, the Metaverse could provide considerable advantages for smart robotized applications in the industry.Workflow efficiency, collective decision enrichment even for executives, as well as a natural, resilient, and sustainable robotized assistance for the workforce are potential advantages. Hence, the Metaverse could consolidate the connection between Industry 4.0 and Industry 5.0. This paper identifies and puts forward potential advantages of the Metaverse for robotized applications and highlights how these advantages support goals pursued by the Industry 4.0 and Industry 5.0 visions. Keywords: Robotics, Metaverse, Digital Twin, VR/AR, AI/ML, Foundation Model;

Potentials of the Metaverse for Robotized Applications in Industry 4.0 and Industry 5.0

TL;DR

The paper addresses how the Metaverse can bridge Industry 4.0's automation with Industry 5.0's human-centric resilience for robotized applications. It proposes a Metaverse-based architecture featuring virtual collaboration spaces, digital twins, embodied avatars, and three AI-enabled functionalities—generative AI, collective intelligence, and transfer learning—to enrich data, knowledge, and transfer to real robots. A key contribution is the shared autonomy/arbitration framework , that mediates human-robot control within a bidirectional loop across the Metaverse. It also discusses practical mechanisms, including OpenUSD-based vCS, RDF knowledge graphs, GAN/cGAN data generation, and NLP-enabled control to realize scalable, safe, and inclusive robotized workflows. The work highlights opportunities and challenges, notably standardization, security, privacy, and the need for globally shared foundation models to accelerate deployment across diverse industries.

Abstract

As a digital environment of interconnected virtual ecosystems driven by measured and synthesized data, the Metaverse has so far been mostly considered from its gaming perspective that closely aligns with online edutainment. Although it is still in its infancy and more research as well as standardization efforts remain to be done, the Metaverse could provide considerable advantages for smart robotized applications in the industry.Workflow efficiency, collective decision enrichment even for executives, as well as a natural, resilient, and sustainable robotized assistance for the workforce are potential advantages. Hence, the Metaverse could consolidate the connection between Industry 4.0 and Industry 5.0. This paper identifies and puts forward potential advantages of the Metaverse for robotized applications and highlights how these advantages support goals pursued by the Industry 4.0 and Industry 5.0 visions. Keywords: Robotics, Metaverse, Digital Twin, VR/AR, AI/ML, Foundation Model;
Paper Structure (9 sections, 1 equation, 5 figures)

This paper contains 9 sections, 1 equation, 5 figures.

Table of Contents

  1. Introduction
  2. Contributions
  3. Related Work
  4. Metaverse and its potential
  5. Metaverse and enabler technologies
  6. Generation of synthetic data to enrich and accelerate robotized workflows
  7. Collective knowledge creation for automation proficiency and symbiotic human-robot-collaboration
  8. Transfer learning for informed decision support and natural robot control
  9. Conclusion

Figures (5)

  • Figure 1: The Metaverse contextualized w.r.t some of its enabler emerging technologies as well as core functionalities and performance indexes.
  • Figure 2: A three-layer abstraction of the Metaverse.
  • Figure 3: The Metaverse harnesses shared control$\slash$autonomy, as introduced in Selvaggio, to mediate between robot autonomy ($h(u_a,u_h)=u_a$, see \ref{['equation']}) for process efficiency and human supervision of the robot ($h(u_a,u_h)=u_h$, see \ref{['equation']}) for comfortable, sustainable, and resilient work conditions.
  • Figure 4: The Metaverse as a virtual testbed for scalable and cost-effective evaluations of robotics technologies, regardless of the current mobility.
  • Figure 5: Architecture pursued in this work, which is based upon bucker2022latte, for a natural (language-based) compliance control of robots.