The field of artificial intelligence is shifting towards embodied intelligence as a key approach to achieving Artificial General Intelligence (AGI). Embodied intelligence involves intelligent systems with physical presence and real-time interaction with the environment, enabling dynamic learning and real-world interaction. This direction is driven by the need to bridge the gap between narrow AI and AGI, and recent research has made significant progress in areas such as multi-modal perception, autonomous decision-making, and physical interaction. The integration of embodied intelligence with technologies like blockchain, Web3, and decentralised AI agents is also being explored, enabling seamless interaction between physical AI and everyday products. Noteworthy papers in this area include:

• Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence, which systematically analyzes the core modules of embodied AI and their contribution to AGI.
• RAI: Flexible Agent Framework for Embodied AI, which introduces a framework for creating embodied Multi Agent Systems for robotics.
• Intelligent Product 3.0: Decentralised AI Agents and Web3 Intelligence Standards, which outlines a new specification for intelligent products leveraging decentralised identity, blockchain-based product information, and intelligent AI-to-AI collaboration.