Research on the Development of Embodied Intelligence Technology

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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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/prmvai65741.2025.11108525
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the Development of Embodied Intelligence Technology

Xinqiang Ma, Li Wang, Menglin Liu, Y. Ding
E-commerce and Technology Innovations
article

Research on the Development of Embodied Intelligence Technology

Xinqiang Ma, Li Wang, Menglin Liu, Y. Ding
article en

Abstract

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.

Chongqing University (CN), Chongqing University of Arts and Sciences (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing
Openalex Percentile: Top 61%
E-commerce and Technology Innovations
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