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All Journal The Indonesian Journal of Computer Science
Fasina, Ebun-Oluwa Phillip
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Computer Science & IT Electrical & Electronics Engineering Engineering

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An Industry 5.0 Compliant Human-Robot Collaboration Digital Twin Framework for African Medium Scale Enterprises Fasina, Ebun-Oluwa Phillip; Sawyerr, Babatunde Alade; Akinola-Taiwo, Kayodele; Murainah, Abdul-Azeez; Ojiako, Chika Perpetua
The Indonesian Journal of Computer Science Vol. 14 No. 6 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i6.5023

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.
Co-Authors Akinola-Taiwo, Kayodele Murainah, Abdul-Azeez Ojiako, Chika Perpetua Sawyerr, Babatunde Alade