GeoVision-Enabled Digital Twin for Hybrid Autonomous-Teleoperated Medical Responses

TL;DR

This paper introduces a GeoVision-enabled Digital Twin architecture for hybrid autonomous and teleoperated medical response systems, enhancing situational awareness and decision-making in disaster scenarios.

Contribution

It presents a novel Digital Twin framework integrating perception, adaptive navigation, and real-time synchronization for remote medical responses.

Findings

Real-time synchronization of system states and environment.

Enhanced situational awareness for remote users.

Improved decision-making capabilities in disaster environments.

Abstract

Remote medical response systems are increasingly being deployed to support emergency care in disaster-affected and infrastructure-limited environments. Enabled by GeoVision capabilities, this paper presents a Digital Twin architecture for hybrid autonomous-teleoperated medical response systems. The proposed framework integrates perception and adaptive navigation with a Digital Twin, synchronized in real-time, that mirrors system states, environmental dynamics, patient conditions, and mission objectives. Unlike traditional ground control interfaces, the Digital Twin provides remote clinical and operational users with an intuitive, continuously updated virtual representation of the platform and its operational context, enabling enhanced situational awareness and informed decision-making.