A Tutorial on Physical AI from a Multimedia Perspective: Part I Isaac Sim Simulation Platform

Abstract

The emergence of physical AI represents a fundamental shift in intelligent systems, yet its distinction from embodied AI and its reliance on high-fidelity simulation remain under-explored by the multimedia community. This tutorial clarifies the identity of physical AI through its core computational triad and delineates its relationship with embodied AI, proposing a synergistic architecture for their future convergence. We position NVIDIA Isaac Sim as the pivotal platform for this ecosystem, detailing its pipeline for creating high-fidelity intelligent digital twins and facilitating multi-sensor simulation as a cornerstone of multimedia computing. Using a standalone workflow, we construct a multi-sensor environment where physical sensor readings are strictly synchronized with visual rendering. Finally, we envision the evolution of the underlying connectivity layer into an Agentic Network. We discuss how future infrastructure, enabled by agentic protocols, will support the dynamic interaction between these high-fidelity simulations and physical realities, paving the way for the next generation of autonomous systems.