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

[04/22/26] Physical AI 전문가 초청 세미나

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Prof. Sooyoung Lee gives an invited seminar at the Korea Institute of Machinery & Materials (KIMM).

Title: "Physical AI: Where We Are and What's Next"

Abstract: 최근 인공지능 기술은 디지털 환경을 넘어 물리적 세계와 긴밀히 상호작용하는 피지컬 AI(Physical AI)로 빠르게 확장되고 있다. 피지컬 AI는 실제 환경에서 기계 및 공학 시스템의 인지, 판단, 행동을 수행하는 지능을 의미하며, 이는 단순 자동화를 넘어 스스로 학습하고 적응하는 임바디드 인텔리전스(Embodied Intelligence)로 진화하고 있다. 본 세미나에서는  피지컬 AI의 현재 기술 수준과 구성 요소를 체계적으로 살펴보고, 특히 자율 제조 AX를 중심으로 산업 현장 적용을 위한 핵심 기술 요소와 구현 사례를 소개한다. 또한, 피지컬 AI가 직면한 한계를 짚어보고, 이를 극복하기 위한 연구 방향과 접근 전략을 제시한다. 본 세미나를 통해 피지컬 AI 기술을 선도하기 위한 명확한 방향 설정과 함께, 산업 전반에서의 실질적 적용 가능성 확대와 지속 가능한 기술 발전에 대한 통찰을 제공하고자 한다.

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 THRUST

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

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