Industrial AI Lab

School of Mechanical Engineering,

Chung-Ang University

중앙대학교 산업 인공지능 연구실

Industrial AI Lab
School of Mechanical Engineering, Chung-Ang University

중앙대학교 산업 인공지능 연구실

NEWS

Recent News at IAI Lab

[10/14/25] 산업통상부 AI 자율제조 연구개발 사업 수주

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사진: 연구개발책임자(중앙대학교, 삼성SDI, 인터엑스, 한국기계연구원) 및 산업통상부 김정관 장관

우리 연구실이 AI 기반 자율 제조 기술을 통해 산업의 생산성과 경쟁력을 혁신적으로 높이는 국가 연구개발 사업에 나섭니다. 산업통상부가 추진하는 'AI팩토리 얼라이언스' 제조AX 선도사업의 일환으로, '이차전지 제조 공정 AI 자율제조 기술 개발' 과제를 수주했으며, 우리 연구실은 에이전틱(Agentic) AI 및 피지컬 AI 기반의 자율 제조 의사결정 기술 개발을 담당합니다.

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INVITED TALKS

Selected Talks

OUR VISION

Engineering Meets AI,

AI Meets Engineering.

The overarching objective of the IAI Lab is to pioneer AI-driven advancements by leveraging the strength of engineering background. By integrating the knowledge of diverse engineering disciplines ranging from mechanical engineering, physics, and computer science, we harness the full potential of artificial intelligence (AI) in redefining engineering processes and outcomes. We are dedicated to developing advanced AI methods based on engineering and data-driven insights, enabling us to model the complexities of various engineering systems well. Our strategies extend beyond conventional and existing approaches by empowering AI-enabled engineering, thereby facilitating unprecedented analysis, decision-making, optimization, and so on. Through this synergy of engineering and AI, the IAI Lab strives to pioneer a new wave of AI innovation, elevating the engineering landscape and further making the future industry smarter and more efficient.

RESEARCH THRUSTS

Towards Seamless Industrial AI

IAI Lab conducts extensive research to seamlessly integrate artificial intelligence (AI) across various industrial aspects, from physical phenomena to manufacturing processes, aiming to enhance efficiency, predictability, and intelligent functionality.

Engineered Artificial Intelligence

Domain specialization of AI for tailoring systems with fundamentals, principles, and mechanisms

Generative/Agentic AI for Engineering

Collaborative and exploratory AI-driven decision-making for autonomous engineering process

AI for Future Manufacturing

AI-enabled intelligent and autonomous manufacturing enabling adaptive, efficient, and resilient production

Extended Physical AI (E-PAI)

Physical intelligence with mechanistic understanding and knowledge integration for generalizable real-world interaction

CORE APPLICATIONS

AI+X Impacts

MOMENTS

Lab Activities

INVITED TALKS

Selected Talks

OUR VISION

Engineering Meets AI,

AI Meets Engineering.

The overarching objective of the IAI Lab is to pioneer AI-driven advancements by leveraging the strength of engineering background. By integrating the knowledge of diverse engineering disciplines ranging from mechanical engineering, physics, and computer science, we harness the full potential of artificial intelligence (AI) in redefining engineering processes and outcomes. We are dedicated to developing advanced AI methods based on engineering and data-driven insights, enabling us to model the complexities of various engineering systems well. Our strategies extend beyond conventional and existing approaches by empowering AI-enabled engineering, thereby facilitating unprecedented analysis, decision-making, optimization, and so on. Through this synergy of engineering and AI, the IAI Lab strives to pioneer a new wave of AI innovation, elevating the engineering landscape and further making the future industry smarter and more efficient.

RESEARCH THRUSTS

Towards Seamless Industrial AI

IAI Lab conducts extensive research to seamlessly integrate artificial intelligence (AI) across various industrial aspects, from physical phenomena to manufacturing processes, aiming to enhance efficiency, predictability, and intelligent functionality.

Engineered Artificial Intelligence

Domain specialization of AI for tailoring systems with fundamentals, principles, and mechanisms

AI for Future Manufacturing

AI-enabled intelligent and autonomous manufacturing enabling adaptive, efficient, and resilient production

Generative/Agentic AI for Engineering

Collaborative and exploratory AI-driven decision-making for autonomous engineering process

Extended Physical AI (E-PAI)

Physical intelligence with mechanistic understanding and knowledge integration for generalizable real-world interaction

CORE APPLICATIONS

AI+X Impacts

MOMENTS

Lab Activities