XR Application

Extended reality (XR) applications are rapidly evolving, driven by research focused on improving performance, usability, and user experience. Current research emphasizes enhancing XR performance through efficient network architectures and AI-assisted resource management, including the use of generative adversarial networks (GANs) for tasks like HMD removal and machine learning models for key quality indicator (KQI) estimation and user identification. These advancements aim to address challenges in latency, energy consumption, and seamless integration of physical and digital objects, ultimately leading to more immersive and practical XR experiences across diverse applications like assistive robotics and teleconferencing.