Reality Informatics: A VR-Inspired Framework for Embodied AI Cognition

This paper introduces Reality Informatics (RI), a novel framework that applies Virtual Reality (VR) design principles to artificial intelligence cognition. Drawing inspiration from how VR creates coherent sensory realities for humans by replacing perceptual channels, RI formalizes methods for constructing coherent informational realities for AI agents by structuring their informational access channels. The framework addresses critical challenges in embodied AI, including sim-to-real transfer, multi-agent coherence, and AI safety testing in controlled environments. Through empirical validation across three LLM architectures (Llama-3.3-70b, GPT-4, Claude-3.5-Sonnet), we demonstrate 97.5% informational immersion coherence and 100% multi-agent consistency in shared informational environments. Key contributions include:- Theoretical framework mapping VR principles to AI informational channels- Formal methodology for ensuring informational coherence in embodied AI- Empirical validation demonstrating robust coherence metrics- Applications to AI safety, multi-agent coordination, and sim-to-real transfer The framework enables safe testing of potentially risky AI behaviors in isolated informational realities before real-world deployment. Full open-source implementation is available on GitHub with reproducible validation protocols through Google Colab notebooks. This work establishes a new research direction at the intersection of Virtual Reality, AI cognition, embodied AI, and AI safety research.