LG CNS convenes global robotics scholars to explore physical AI applications

LG CNS has joined forces with leading robotics scholars from South Korea and abroad to explore ways to apply physical AI in industrial settings.

LG CNS said Thursday it recently held the 2026 Robotics & Physical AI Forum at its Future Robotics Lab at the company's Magok headquarters in Seoul.

About 100 people attended the event, including faculty members and graduate students from the University of Toronto, Sogang University, Chung-Ang University and Korea University, as well as LG CNS employees. Participants exchanged views on reinforcement learning, robot locomotion and intelligent mechanisms, dynamic and stochastic optimization, machine learning, and deep learning model optimization, along with trends in physical AI technology and strategies for deploying it in industrial environments.

Drawing on experience from more than 1,000 robotics-based smart factory and smart logistics projects, LG CNS outlined its vision for applying physical AI in industry. The company also presented two platforms launched this year: PhysicalWorks Forge, a robot learning platform, and PhysicalWorks Baton, a robot operations and control platform powered by agentic AI.

Researchers shared their latest findings on robot intelligence and control technology. Lee Chi-geun, a professor at the University of Toronto, introduced the development of robot foundation models and the key technologies needed to deploy them on actual robots. Lee explained methods for combining data from different robots, as well as flow matching and action chunking techniques that enable smooth, continuous robot movement.

Lee also identified future challenges, including variations in movement and latency across different robots and difficulties in securing sufficient training data.

"We shared LG CNS's technology and project experience with researchers from South Korea and abroad working in robotics and physical AI, and together explored the direction for future industrial applications," said Lee Jun-ho, head of LG CNS's Smart Logistics & City Business Division. "We will continue to strengthen our technological competitiveness through engagement with academia and build our business capabilities so that research outcomes can translate into real innovation on the factory floor."