Real-time AI-regulated animation-user interaction system in virtual reality environments

This study presents a real-time AI-regulated animation and user interaction system that leverages machine learning to enhance immersion in virtual reality (VR) environments.The framework integrates real-time simulation, CAD optimisation, and AI-driven animation to deliver responsive, realistic, and user-friendly interactions.Although challenges remain in resource utilisation and frame rate stability, experimental evaluations demonstrate high accuracy, responsiveness, and usability.The findings suggest that AI-governed VR systems hold significant potential in education, healthcare, and training for high-risk environments.As VR adoption expands across medicine, education, and the arts, the need for machines capable of dynamically controlling interactions and animations becomes critical for achieving presence and adaptability.Earlier rule-based and tele-operated approaches lacked realism and scalability, while newer AI-powered methods offer greater flexibility yet still face integration challenges.This system addresses these limitations by combining AI models with CAD-optimised animations, ensuring speed, precision, and usability in real-time.