Embodied AI is a type of artificial intelligence that integrates with robots to enable them to interact, learn, and adapt from real-world experiences. This approach moves beyond traditional software-only AI by providing robots with sensory, motor, and learning capabilities. Embodied AI systems can learn from real-world feedback such as falling, balancing, and tactile feedback that is much like humans learn through experience. They use a combination of vision, sound, and touch to achieve a deeper understanding of their surroundings, which is crucial for adapting to new challenges. The effectiveness of embodied AI depends on large-scale, diverse, and well-annotated datasets that capture real-world complexity. Embodied AI is transforming various industries, including logistics, security, autonomous vehicles, and service sectors.