Embodied AI refers to artificial intelligence integrated into physical systems, such as robots, enabling real-world interaction through sensors and actuators. Unlike traditional AI, which operates digitally, embodied AI learns from real-world experiences, adapting to dynamic environments and improving decision-making over time. This field combines machine learning, robotics, computer vision, and natural language processing to create intelligent agents capable of perception, reasoning, and physical interaction. Applications range from autonomous vehicles and service robots to healthcare assistants and industrial automation, revolutionizing various industries. However, challenges remain in developing robust learning algorithms, ensuring safety in unpredictable settings, and addressing ethical concerns related to autonomy and decision-making.