Embodied Intelligence, also known as Embodied AI, is a form of artificial intelligence that integrates physical bodies with intelligent systems. This integration allows these systems to perceive, reason, and interact with the physical world in a manner similar to humans. It represents advancement in the field AI, bridging the gap between digital algorithms and the physical world. Different key components and techniques used in the systems are introduced like sensors (cameras, LiDAR, microphones,tactile sensors,MEMS, etc.) used for perception, neural networks for deep learning, NLP for human interaction. Especially the big data collection (from real world and/or via simulation) and several learning methods will be analyzed. Last but not least the applications in robots, humanoids, autonomous driving etc. will be addressed.