Virtual Soldiers for Tactical Training: A Generative AI Framework for Adaptive Military Simulations
Year: 2025
Type: article
Abstract: Traditional military training simulations rely heavily on scripted non-player characters (NPCs) that lack adaptability, limiting realism and tactical unpredictability. This paper proposes a Generative AI (GenAI)-powered framework for virtual soldiers that dynamically adapt tactics, communication styles, and behaviors within VR/AR-based combat environments. The framework integrates multi-modal GenAI capabilities—including vision, speech, and tactical planning—to create avatars capable of dynamic role adaptation as opponents, allies, or civilians. A comparative evaluation is designed to measure realism, adaptability, and training effectiveness against conventional scripted NPCs. By offering cost-effective, immersive, and adaptive combat training, the framework strengthens military preparedness and directly contributes to national security enhancement in an era of increasingly complex warfare.
Author: Chetan Kasera
Institution: Rashtriya Raksha University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7082652691
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