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Department of Electrical Engineering and Computer Science
CSI(Cyber-Physical Systems Integration) Lab
1. Journal Articles
Cyber-Physical AI: Systematic Research Domain for Integrating AI and Cyber-Physical Systems
Lee, Sanghoon
;
Chae, Jiyeong
;
Jeon, Haewon
;
Kim, Taehyun
;
Hong, Yeong-Gi
;
Um, Doo-Sik
;
Kim, Taewoo
;
Park, Kyung-Joon
Department of Electrical Engineering and Computer Science
CSI(Cyber-Physical Systems Integration) Lab
1. Journal Articles
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Title
Cyber-Physical AI: Systematic Research Domain for Integrating AI and Cyber-Physical Systems
Issued Date
2025-04
Citation
ACM Transactions on Cyber-Physical Systems, v.9, no.2, pp.1 - 33
Type
Article
Author Keywords
Artificial Intelligence
;
Cyber-Physical Systems
;
Machine Learning
;
Embedded Systems
;
System Integration
;
Uncertainty Adaptive
;
Resource-Awareness
;
Real-time
;
Automation
;
Augmentation
Keywords
INDUSTRIAL INTERNET
;
ATTACK DETECTION
;
FAULT-DIAGNOSIS
;
DIGITAL TWIN
;
PREDICTION
;
IMPUTATION
;
NETWORK
;
IOT
;
ARTIFICIAL-INTELLIGENCE
ISSN
2378-962X
Abstract
The integration of Cyber-Physical Systems (CPS) and AI presents both opportunities and challenges. AI operates on the principle that good things happen probabilistically,while CPS adheres to the principle that all bad things must not happen,requiring uncertainty-awareness. Furthermore, the difference between AI's resource accessibility assumption and CPS's resource limitations highlights the need for resource-awareness. We introduce Cyber-Physical AI (CPAI), an interdisciplinary sub-field of AI and CPS research, to address these constraints. To the best of our knowledge, CPAI is the first research domain on CPS-AI integration. We propose a 3D classification schema of CPAI: Constraint (C), Purpose (P), and Approach (A). We also systematize the CPS-AI integration process into three phases and nine steps. By analyzing 104 studies, we highlight nine key challenges and insights from a CPAI perspective. CPAI aims to unify fragmented studies and provide guidance for reliable and resource-efficient integration of AI as a component of CPS. © 2025 Copyright held by the owner/author(s).
URI
https://scholar.dgist.ac.kr/handle/20.500.11750/58503
DOI
10.1145/3721437
Publisher
Association for Computing Machinery
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2_s2.0_105004265275.pdf
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Park, Kyung-Joon
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Department of Electrical Engineering and Computer Science
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