The Prospect of Embodied Intelligence and the Opportunities Brought by Large Models

Jialan Wu

doi:10.54254/2755-2721/2025.21923

Research Article

Open access

Published on 7 April 2025

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Wu,J. (2025). The Prospect of Embodied Intelligence and the Opportunities Brought by Large Models. Applied and Computational Engineering,145,37-42.

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The Prospect of Embodied Intelligence and the Opportunities Brought by Large Models

Jialan Wu *^,1,

¹ The Chinese University of Hongkong (Shenzhen), Shenzhen, China, 518000

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.21923

Abstract

There is an emerging trend transitioning from conventional intelligent artificial systems to embodied intelligence, which represents a systematic function integrated with a physical carrier. Unlike the previously abstract AI, embodied intelligence leverages theories and technologies from artificial intelligence, robotics, mechanical manufacturing, and design. It accomplishes specific tasks through interactions with the real world, thereby exerting a direct or indirect influence on the physical environment. New technology like Open AI Sora has marked a closer step for AGI (Artificial General Intelligence). With the continuous improvement of large model technology and deep learning, embodied intelligence has unprecedented opportunities to develop. Therefore, this paper will focus on the prospect of embodied intelligence and the chances brought by large models. This paper is written based on summarizing and discussing many previous papers, using the method of literature review and research. By taking advantage of large model, embodied AI has the prospect to make progress in interactions with humans, more accuracy in execution, and more fields.

Keywords

embodied AI, large model, robotics, robot learning, humanoid robot

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References

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[2]. Zhang Weinan & Liu Ting. Research and application of embodied intelligence. Journal of Intelligent Systems, 1-9.

[3]. Wade, N., & Swanston, M. (2013). Visual perception: An introduction. Psychology Press.

[4]. Brady, M. (Ed.). (1982). Robot motion: Planning and control. MIT press.

[5]. Busemeyer, J. R., & Diederich, A. (2010). Cognitive modeling. Sage.

[6]. Kuniyoshi, Y., Yorozu, Y., Ohmura, Y., Terada, K., Otani, T., Nagakubo, A., & Yamamoto, T. (2004, July). From humanoid embodiment to theory of mind. In Embodied Artificial Intelligence: International Seminar, Dagstuhl Castle, Germany, July 7-11, 2003. Revised Papers (pp. 202-218). Berlin, Heidelberg: Springer Berlin Heidelberg.

Cite this article

Wu,J. (2025). The Prospect of Embodied Intelligence and the Opportunities Brought by Large Models. Applied and Computational Engineering,145,37-42.

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About volume

Volume title: Proceedings of the 3rd International Conference on Software Engineering and Machine Learning

Conference website: https://2025.confseml.org/

ISBN：978-1-80590-024-5(Print) / 978-1-80590-023-8(Online)

Conference date: 2 July 2025

Editor：Marwan Omar

Series: Applied and Computational Engineering

Volume number: Vol.145

ISSN：2755-2721(Print) / 2755-273X(Online)

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