A Deployment Model for Digital Twin-Enabled

Abstract

This paper proposes a deployment model for digital twin enabled Augmented/Virtual Reality (AR/VR) robotic systems designed to support cognitive and therapeutic interventions in healthcare and special education. The model integrates physical devices, edge computing, digital twin services, IoT platform management, and cloud-based analytics within a modular, hierarchical architecture. A key innovation is the Digital Twin Adaptor (DTA), enabling real time synchronization, behavioral modeling, and adaptive feedback loops between physical systems and virtual environments. The research employs a design-oriented methodology comprising literature synthesis, conceptual modeling, and expert validation. A multidisciplinary panel including experts in rehabilitation engineering, digital health, and educational technology reviewed the model for conceptual clarity, feasibility, and clinical relevance. Feedback guided refinements in system interoperability, data security, and session management.