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Metarobotics for Industry and Society: Vision, Technologies, and Opportunities

Eric Guiffo Kaigom

TL;DR

Metarobotics addresses the gap between traditional human–robot collaboration and the evolving needs of Society 5.0 and Industry 5.0 by proposing a software-defined framework for location-independent interaction with remote robotized applications. It integrates 6G/b-URLLC, holoportation with multi-modal sensation feedback, cogDTs with uncertain knowledge graphs, and a layered Metaverse-enabled architecture to realize Humotics and Cotrusting across industrial and societal domains. Key contributions include the three-layer Metarobotics model, a survey of enabling technologies, and design functionalities such as collective knowledge, multi-agent optimization, energy-aware holoportation, and immersive education. The approach aims to improve self-determination, work-life flexibility, and professional efficacy while enabling globally inclusive education and trustworthy cross-domain robotics, with practical implications for industry, society, and policymaking.$

Abstract

Metarobotics aims to combine next generation wireless communication, multi-sense immersion, and collective intelligence to provide a pervasive, itinerant, and non-invasive access and interaction with distant robotized applications. Industry and society are expected to benefit from these functionalities. For instance, robot programmers will no longer travel worldwide to plan and test robot motions, even collaboratively. Instead, they will have a personalized access to robots and their environments from anywhere, thus spending more time with family and friends. Students enrolled in robotics courses will be taught under authentic industrial conditions in real-time. This paper describes objectives of Metarobotics in society, industry, and in-between. It identifies and surveys technologies likely to enable their completion and provides an architecture to put forward the interplay of key components of Metarobotics. Potentials for self-determination, self-efficacy, and work-life-flexibility in robotics-related applications in Society 5.0, Industry 4.0, and Industry 5.0 are outlined.

Metarobotics for Industry and Society: Vision, Technologies, and Opportunities

TL;DR

Metarobotics addresses the gap between traditional human–robot collaboration and the evolving needs of Society 5.0 and Industry 5.0 by proposing a software-defined framework for location-independent interaction with remote robotized applications. It integrates 6G/b-URLLC, holoportation with multi-modal sensation feedback, cogDTs with uncertain knowledge graphs, and a layered Metaverse-enabled architecture to realize Humotics and Cotrusting across industrial and societal domains. Key contributions include the three-layer Metarobotics model, a survey of enabling technologies, and design functionalities such as collective knowledge, multi-agent optimization, energy-aware holoportation, and immersive education. The approach aims to improve self-determination, work-life flexibility, and professional efficacy while enabling globally inclusive education and trustworthy cross-domain robotics, with practical implications for industry, society, and policymaking.$

Abstract

Metarobotics aims to combine next generation wireless communication, multi-sense immersion, and collective intelligence to provide a pervasive, itinerant, and non-invasive access and interaction with distant robotized applications. Industry and society are expected to benefit from these functionalities. For instance, robot programmers will no longer travel worldwide to plan and test robot motions, even collaboratively. Instead, they will have a personalized access to robots and their environments from anywhere, thus spending more time with family and friends. Students enrolled in robotics courses will be taught under authentic industrial conditions in real-time. This paper describes objectives of Metarobotics in society, industry, and in-between. It identifies and surveys technologies likely to enable their completion and provides an architecture to put forward the interplay of key components of Metarobotics. Potentials for self-determination, self-efficacy, and work-life-flexibility in robotics-related applications in Society 5.0, Industry 4.0, and Industry 5.0 are outlined.
Paper Structure (34 sections, 1 equation, 6 figures, 1 table)

This paper contains 34 sections, 1 equation, 6 figures, 1 table.

Table of Contents

  1. Introduction
  2. Contributions
  3. Related Work
  4. Metarobotics
  5. Motivation
  6. Definition
  7. Fostering Personal Self-Determination in Society
  8. Supporting Professional Self-Efficacy in Industry
  9. Work-Life-Flexibility between Industry and Society
  10. Targeted Design and Engineering Functionalities
  11. Collective and Generative Knowledge for Citizens and Robots
  12. CogDT-Based Multi-Agent Optimization
  13. Green Ultra-Massively Adopted $\pi$-HRC
  14. Holoportation with Sensation Feedback
  15. Parallel Intelligence for Human-Centered Robotics
  16. ...and 19 more sections

Figures (6)

  • Figure 1: Pervasive and itinerant HRC in a mobile workspace.
  • Figure 2: A three layer view on Metarobotics.
  • Figure 3: Enablers, Functionalities, Key Performance Indexes (KPI), and envisioned examples of use cases of Metarobotics.
  • Figure 4: L.h.s: Intinerancy and pervasiveness in Metarobotics. R.h.s: Three pillars of collective learning in Metarobotics.
  • Figure 5: A high-level architecture of Metarobotics with five key layers being highlighted (see numbering).
  • ...and 1 more figures