Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2510.04978
The rapid advancement of embodied intelligence and world models has intensified efforts to integrate physical laws into AI systems, yet physical perception and symbolic physics reasoning have developed along separate trajectories without a unified bridging framework. This work provides a comprehensive overview of physical AI, establishing clear distinctions between theoretical physics reasoning and applied physical understanding while systematically examining how physics-grounded methods enhance AI's real-world comprehension across structured symbolic reasoning, embodied systems, and generative models. Through rigorous analysis of recent advances, we advocate for intelligent systems that ground learning in both physical principles and embodied reasoning processes, transcending pattern recognition toward genuine understanding of physical laws. Our synthesis envisions next-generation world models capable of explaining physical phenomena and predicting future states, advancing safe, generalizable, and interpretable AI systems. We maintain a continuously updated resource at https://github.com/AI4Phys/Awesome-AI-for-Physics.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2510.04978
- https://arxiv.org/pdf/2510.04978
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4414972786
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4414972786Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2510.04978Digital Object Identifier
- Title
-
Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AIWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-10-06Full publication date if available
- Authors
-
Kun Xiang, Terry Jingchen Zhang, Yinya Huang, Jie-Xian He, Zirong Liu, Yuan Yan Tang, Rongpu Zhou, Liang Luo, Youpeng Wen, Xiuwei Chen, Bingqian Lin, Jianhua Han, Hang Xu, Hanhui Li, Yanhui Dong, Xiaodan LiangList of authors in order
- Landing page
-
https://arxiv.org/abs/2510.04978Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2510.04978Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2510.04978Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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