中国工程科学2026，Vol.28Issue(2)：1-13,13.DOI:10.15302/J-SSCAE-2025.07.019
具身智能发展趋势与展望
Embodied Intelligence:Development Trends and Prospects
摘要
Abstract
The development goal of artificial intelligence is to enable machines to think and act like humans,solving complex problems,and more importantly,interacting effectively in a complex,dynamic,and uncertain physical world.Embodied intelligence emphasizes that intelligent agents continuously learn and evolve from perception,decision-making,and action processes.It is realized through dynamic interactions with their surroundings via physical embodiments.This approach overcomes the limitations of traditional static data-driven training models,demonstrating superior adaptability and generalization capabilities in the real world.It therefore has become a dominant way to achieve the goal of artificial intelligence.This study explores the conceptual connotations,computational frameworks,and system implementations of embodied intelligence,and,on this basis,further reviews its current development status,evolutionary trends,and challenges.In particular,the study highlights the pivotal role of generative artificial intelligence,especially large language models,multimodal large language models,and the advancing large"information-physical-cognitive"models,in accelerating the evolution of embodied intelligence.In the face of intensifying global competition in artificial intelligence,this study further summarizes the achievements and analyzes the risks in the development of embodied intelligence in China,and proposes key research directions and targeted policy recommendations to help China secure a leading position in the global race for embodied intelligence.关键词
具身智能/人工智能/生成式人工智能/环境交互Key words
embodied intelligence/artificial intelligence/generative artificial intelligence/environment interaction分类
信息技术与安全科学引用本文复制引用
郑南宁,杨勐,姜维周,孙宏滨,丁宁..具身智能发展趋势与展望[J].中国工程科学,2026,28(2):1-13,13.基金项目
中国工程院咨询项目"生成式AI与具身智能发展战略及对策研究"(2024-XZ-14) Chinese Academy of Engineering project"Development Strategies and Countermeasures for Generative AI and Embodied Intelligence"(2024-XZ-14) （2024-XZ-14）
