Embodied AI enables robots and drones to interact with their environment through sensors and machine learning. Unlike traditional AI, it learns from real-world experiences, utilizing algorithms to navigate obstacles. Key developments began in the 1950s, and current applications include self-driving cars and robotic vacuum cleaners. The technology's evolution benefits from advancements in generative AI and improved sensors, enhancing its ability to understand and adapt to surroundings.