Prospects and technology of embodied intelligent humanoid robots driven by AI large models

Humanoid robots are the culmination of robotics technology and play an important role in serving the major strategic needs of the country. They can assist or replace humans in dangerous, dirty, and repetitive environments to perform various types of tasks. This article takes the AI large model-driven embodied intelligent humanoid robot technology and prospects as an entry point, systematically introducing the development background and significance of humanoid robots. It highlights large model technologies such as large natural language models, vision transformers, vision-language models, vision generation models, and embodied multimodal large models. Furthermore, it provides a detailed introduction to the key technologies of AI large model-driven embodied intelligent humanoid robots from three aspects: distributed modular large model technology, end-to-end integrated large model technology, and cloud-edge-end collaborative large model technology. The application scenarios for embodied intelligent humanoid robots are quite extensive, and the development of large model technology injects key capabilities into robotic perception and recognition, cognitive decision-making, planning and scheduling, and behavior control, including language understanding, visual generalization, and common-sense reasoning. This further promotes the application of humanoid robots in fields such as intelligent manufacturing and national defense security. Finally, this article discusses the technical challenges and prospects of large model-driven embodied intelligent humanoid robots.

Authors

Publication Details

Journal
Scientia Sinica Informationis
Published
2025-03-17
DOI
https://doi.org/10.1360/ssi-2024-0350
Citations
3
Primary Topic
Robotic Locomotion and Control
Type
article
Field-Weighted Citation Impact
2.02
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article

Prospects and technology of embodied intelligent humanoid robots driven by AI large models

Kai Ceng, Yaonan Wang, Haoran Tan, Qiu Fang et al.
3 citations
Scientia Sinica Informationis
Robotic Locomotion and Control
2.02
article

Prospects and technology of embodied intelligent humanoid robots driven by AI large models

Kai Ceng, Yaonan Wang, Haoran Tan, Qiu Fang, Yuan Wang, Liwei Yuan
article en
3 citations

Abstract

Humanoid robots are the culmination of robotics technology and play an important role in serving the major strategic needs of the country. They can assist or replace humans in dangerous, dirty, and repetitive environments to perform various types of tasks. This article takes the AI large model-driven embodied intelligent humanoid robot technology and prospects as an entry point, systematically introducing the development background and significance of humanoid robots. It highlights large model technologies such as large natural language models, vision transformers, vision-language models, vision generation models, and embodied multimodal large models. Furthermore, it provides a detailed introduction to the key technologies of AI large model-driven embodied intelligent humanoid robots from three aspects: distributed modular large model technology, end-to-end integrated large model technology, and cloud-edge-end collaborative large model technology. The application scenarios for embodied intelligent humanoid robots are quite extensive, and the development of large model technology injects key capabilities into robotic perception and recognition, cognitive decision-making, planning and scheduling, and behavior control, including language understanding, visual generalization, and common-sense reasoning. This further promotes the application of humanoid robots in fields such as intelligent manufacturing and national defense security. Finally, this article discusses the technical challenges and prospects of large model-driven embodied intelligent humanoid robots.

Scientia Sinica InformationisVol. 55(5)
Openalex Percentile: Top 15%
Robotic Locomotion and Control
2.02
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Prospects and technology of embodied intelligent humanoid robots driven by AI large models — Kai Ceng, Yaonan Wang, et al. · Scientia Sinica Informationis (2025) | TGRS Research Map | TGRS