An Industry 5.0 Compliant Human-Robot Collaboration Digital Twin Framework for African Medium Scale Enterprises

Authors

  • Ebun-Oluwa Phillip Fasina University of Lagos, Lagos
  • Babatunde Alade Sawyerr University of Lagos
  • Kayodele Akinola-Taiwo University of Lagos
  • Abdul-Azeez Murainah University of Lagos
  • Chika Perpetua Ojiako University of Lagos

DOI:

https://doi.org/10.33022/ijcs.v14i6.5023

Keywords:

Collaborative Systems, Digital Twins, Industry 5.0, African Medium Enterprises, Software Frameworks

Abstract

Industry 5.0 emphasizes human-robot collaboration, where Digital Twins (DTs) connect physical and digital operations for efficient, flexible work. Existing DT frameworks often focus on full-system autonomy or prediction, overlooking structured, task-level coordination between Human and Robot Digital Twins (HDT and RDT). This paper introduces a minimal, modular framework that enables shared task-based collaboration between HDT and RDT agents. Built on the Cross Domain Digital Twin (CDDT) design pattern, it supports real-time, role-specific interaction. The framework provides a scalable foundation for collaborative DT systems aligned with Industry 5.0, offering a practical base for future human–robot coordination research.

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Published

03-12-2025