Prof. Le Song (MBZUAI)
강연정보 TBA
김승환 상무 (LG AI연구원)
Title: Agentic AI를 넘어 Physical AI로, LG AI가 만들어가는 더 나은 세상
Abs:
LG AI연구원은 “인류의 더 나은 삶을 위한 AI 기술 선도”를 미션으로, 생성형 AI를 넘어 Agentic AI와 Physical AI로 확장되는 차세대 AI 기술을 다양한 산업 현장에 적용하며 혁신을 만들어가고 있다. 본 강연에서는 R&D, 생산, 품질, 물류 등 산업 전반의 밸류체인(Value Chain)에서 AI가 실제로 어떻게 활용되고 있는지 다양한 사례를 중심으로 소개한다. 특히 Agentic AI를 통해 단순 업무 보조를 넘어 스스로 판단하고 계획·수행하는 자율형 업무 환경이 어떻게 구현되고 있는지 설명한다. 또한 LG AI연구원이 궁극적으로 지향하는 ‘Autonomous Factory’와 사람·AI·로봇이 유기적으로 협업하는 미래 제조 환경의 방향성도 함께 공유한다. 이를 통해 생성형 AI 이후 산업 현장에서 AI가 어떤 방식으로 진화하고 있으며, 앞으로 Physical AI가 만들어갈 새로운 변화와 가능성을 조망하고자 한다.
Bio:
- (졸) 서울대학교 전기공학부 박사
- (현) LG AI연구원 Expert AI 연구그룹장 겸 Physical Intelligence Lab장
국가인공지능전략위원회 산업AX·생태계 분과위원
피지컬 AI 얼라이언스 AI모델 액션그룹장
김주형 교수 (UIUC)
Title: Return of Teleoperation in the Age of Embodied/Physical AI
Abs:
As automation expands across manufacturing and logistics, robots must increasingly operate safely and adaptively in human-centered environments. Recent progress in humanoid robotics has renewed interest in systems capable of physical interaction, versatile manipulation, and collaboration with people. In this talk, I will discuss the technological and historical context behind this trend, with examples from our work on human-centered robot design, motion control, and interaction. I will focus particularly on the renewed role of teleoperation in Embodied/Physical AI, not only for remote control, but also for skill transfer, shared autonomy, and large-scale multimodal data collection. Drawing on UIUC KIMLAB’s PAPRAS and PAPRLE platforms, I will show how modular robotic systems can enable intuitive interaction and scalable learning, and discuss how these approaches may contribute to the future of intelligent manufacturing.
Bio:
Joohyung Kim is an Associate Professor of ECE (Electrical and Computer Engineering) and MechSE (Mechanical Science & Engineering), and the director of KIMLAB (Kinetic Intelligent Machine LAB) at University of Illinois, Urbana-Champaign. His research focuses on design and control for humanoid robots, system for motion learning in robot hardware, and safe human-robot interaction. He received BSE and Ph.D. degrees in Electrical Engineering and Computer Science (EECS) from Seoul National University, Korea, in 2001 and 2012. He was with Disney Research as a Research Scientist from 2013 to 2019. Prior to joining Disney, he was a postdoctoral fellow in the Robotics Institute at Carnegie Mellon University for DARPA Robotics Challenge in 2013. From 2009 to 2012, he was a Research Staff Member in Samsung Advanced Institute of Technology and Samsung Electronics, Korea, developing biped walking controllers for humanoid robots.
유창동 교수 (KAIST)
Title: TBA
Bio:
Professor, School of Electrical Engineering, KAIST
Adjunct Professor, Department of Computer Science, KAIST
Professor, Robotics Program, KAIST
Member of Tau Beta Pi, Sigma Xi
Member of ISCA
Senior Member of IEEE
Consultant for the Korean Foundation for Advance Studies
Vice President of the Institute of Electronics and Information Engineers (IEIE)
Dean of the Office of International Relations, KAIST (2013-2015)
Dean of the Office of Special Projects and Institutional Relations, KAIST (2011-2013)
Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology
M.S. in Electrical Engineering from Cornell University
B.S. in Engineering and Applied Science from the California Institute of Technology
TBA
