Scientific Development Research

As a crucial advancement in artificial intelligence (AI), embodied intelligence extends AI capabilities into the physical world, enabling autonomous perception, decision-making, and execution. This evolution marks a transition from purely digital intelligence to an integrated "perception and action" paradigm. In recent years, embodied intelligence has demonstrated significant potential across various domains, including industrial manufacturing, healthcare, intelligent transportation, and home services. However, it still faces multiple challenges in technology, data acquisition, engineering, security, and industrialization. This paper systematically reviews the core technical framework of embodied intelligence, analyzes its key application scenarios, and explores the existing development bottlenecks. Finally, it presents an outlook on future trends, including the integration of cognitive and action intelligence, the construction of human-machine collaboration ecosystems, and the broader societal impact of embodied AI. This study aims to provide insights for future research and industry development in the field of embodied intelligence.

Embodied intelligence; Artificial intelligence; Autonomous learning; Multimodal perception; Industrial automation; Human-machine interaction