The Embodied Intelligence Hub Platform serves as the core decision-making and control center for multi-scenario intelligent robots. By integrating spatial intelligence, multimodal perception and large AI model technologies, it builds a full-stack capability system covering autonomous robot positioning and navigation, cluster scheduling, virtual-real interaction and task decision-making. Focusing on complex scenarios such as inspection, security, logistics and guidance, it empowers robots with autonomous decision-making, environmental semantic understanding and precise motion execution through edge computing and end-to-end reinforcement learning, realizing the intelligent upgrade from single tasks to complex processes. Adopting a cloud-edge architecture of "central hub + edge brain", the platform supports flexible switching between offline and online modes to ensure stable robot operation in complex environments. It enables rapid access of third-party systems and provides standardized APIs to lower development barriers and accelerate the large-scale implementation of industrial embodied intelligence applications.