B2AGI
Physical AI in Korea: research, manufacturing and testing
How do Korea's regional physical AI resources differ?
B2AGI's regional notes examine industrial context in Pohang, research connections around Daejeon and Sejong, and manufacturing and testing in Daegu. They are a guide to different questions about development and adoption, not proof that every illustrated facility or robot was visited or is available now.
Read each regional note with its cited sources. Distinguish a proposed facility, a research result, a test service and an operating customer deployment before comparing them. For a specific project, verify current access, integration support, safety requirements and maintenance arrangements directly with the relevant operator.
Records and explainers
Physical AI in Korea
The Korea overview connects several parts of the physical AI landscape: semiconductors, manufacturing, mobility and the infrastructure needed to run machines. It is a map of questions, not a ranking of national capability.
Pohang: making physical AI
Pohang brings industrial demand, university research, manufacturing skills and field robotics into one regional map. The source cards explicitly identify this as desk research, not a tour of every pictured facility.
Daejeon and Sejong: from research to robots
The Daejeon and Sejong cards follow a research lineage, not a single-site cluster. KAIST and HUBO provide the research context; Rainbow Robotics' current contact page distinguishes its Sejong headquarters from its AI research location in Seongnam.
Daegu: build it, test it
Daegu's cards separate manufacturing from testing. Dalseong's industrial-robot manufacturing context and KIRIA's Buk-gu testing context are not interchangeable, even though both contribute to bringing machines into use.
First web edition: · Web edition updated:
Web dates are separate from observation and original-post dates.