[Edaily Reporter Shin Yeong-bin ] #CMES Robotics attended a Physical AI and Robotics Startup Roundtable hosted by SKTelecom to discuss collaboration opportunities in industrial physical AI. The company plans to strengthen its competitiveness in industrial AI by leveraging data from manufacturing and logistics sites, along with the Robot Foundation Model (RFM).

CMES Robotics announced on the 31st that it attended the “Physical AI and Robotics Startup Roundtable” held on the 30th at the SK Seorin Building in Jongno-gu, Seoul.

SKTelecom organized this roundtable to discuss specific collaboration plans with domestic startups in the physical AI sector. The event was attended by executives from SKTelecom, the SK Group AI Committee, SK hynix, and SK AX, as well as representatives from major domestic physical AI and robotics companies.

During the event, participants shared insights on physical AI technologies used in industrial settings—such as manufacturing, logistics, and services—as well as industry trends. They also discussed collaboration plans for a full-stack AI ecosystem that integrates AI infrastructure—including AI semiconductors, AI data centers, digital twins, and RFM—with industrial robotics.

CMES Robotics provides robotic solutions that automate unstructured tasks in logistics and manufacturing environments, leveraging 3D vision technology and AI-based robot motion generation technology. The company is also advancing the development of its Vision Foundation Model (VFM) and RFM based on real-world operational data accumulated in industrial settings.

During the meeting, securing the necessary data and establishing a demonstration environment for the advancement of Physical AI were discussed as key challenges. CMES Robotics is expected to collaborate on initiatives proposed by SKTelecom—such as building data for robot training and conducting proof-of-concept (PoC) tests in industrial settings—based on its own field data and operational experience.

Lee Seong-ho, CEO of CMES Robotics, stated, “The competitiveness of Physical AI ultimately stems from the data accumulated in actual industrial settings and the technology that links this data to robotic intelligence.” He added, “Based on AI robotics technology verified in real manufacturing and logistics environments, CMES Robotics will expand collaboration within the domestic AI ecosystem and lead the global industrial Physical AI market.”

CMES Robotics noted that this roundtable reaffirmed the importance of collaboration linking industrial site data with AI infrastructure, and announced plans to participate in expanding an industry-focused Physical AI ecosystem alongside various companies gathered around SKTelecom.