Physical AI: bridging the sim-to-real divide toward embodied, ethical, and autonomous intelligence

The article reviews enabling foundations—including synthetic data generation, differentiable rendering, reinforcement learning in simulation, neuromorphic edge computing, and global robotics datasets—and analyzes persistent bottlenecks in embodiment, interaction, and multi-modal world-modeling.