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Embodied intelligence is a promising emerging direction in the field of artificial intelligence. Its core is that agents form a complete closed loop of “perception decision action intelligence improvement” through interaction with the environment. This paper systematically combs the evolution of embodied intelligence technology, deeply analyzes the technical system of multimodal perception, task planning and decision-making, and end drive control, discusses the typical application scenarios of visual language navigation and visual language action in detail, analyzes the problems of modal heterogeneity and computational efficiency bottleneck, and looks forward to the future trend from the dimensions of multimodal deep integration and model lightweight. The research aims to provide systematic reference for this field and promote technological breakthrough and application expansion.
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Liu et al. (2025) studied this question.
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