The Indonesian Journal of Computer Science
Vol. 14 No. 6 (2025): The Indonesian Journal of Computer Science

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

Fasina, Ebun-Oluwa Phillip (Unknown)
Sawyerr, Babatunde Alade (Unknown)
Akinola-Taiwo, Kayodele (Unknown)
Murainah, Abdul-Azeez (Unknown)
Ojiako, Chika Perpetua (Unknown)

Article Info

Publish Date
03 Dec 2025

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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Journal Info
The Indonesian Journal of Computer Science
Website

Abbrev

ijcs

Publisher

STMIK Indonesia Padang

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering

Description

The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information ...