NC AI, an artificial intelligence (AI) subsidiary of NC, said on the 30th that it signed a strategic business agreement with CMES Robotics, a Robotics company, to collaborate on joint research and development based on physical AI and to share technologies.
The two companies will combine their respective AI and Robotics capabilities to jointly develop next-generation physical AI-based Robotics solutions applicable to the manufacturing and logistics industries. Specifically, they will build a close cooperation system in areas such as joint research and development based on physical AI, sharing of core technologies and research outcomes, and the discovery and advancement of next-generation Robotics solutions.
NC AI decided to advance world-model technology that understands the physical laws and environmental changes of the real world and predicts future states, as well as a robot foundation model (RFM) to implement general intelligence for robots.
CMES Robotics will promote field validation and advancement of AI models in industrial settings based on its experience operating AI-based intelligent robot solutions, including a visual foundation model (VFM) and RFM trained on data accumulated in manufacturing and logistics sites, and its precise robot control technology.
In particular, the two companies plan to build together a virtuous-cycle development system that uses data secured in industrial sites to train AI and build simulation environments, and then applies the trained AI models back to robot systems. Through this, they aim to solve the acquisition of training data and the Sim-to-Real problem—both cited as key challenges in the field of physical AI—and accelerate the development of intelligent Robotics technologies that can be applied directly to real industrial sites.
Lee Yeon-su, CEO of NC AI, said, "The collaboration with CMES Robotics will be an important opportunity to expand the real-world industrial adoption of physical AI based on the core technological capabilities of both companies and to accelerate intelligent automation in manufacturing and logistics environments," adding, "We will continue to introduce next-generation physical AI solutions that solve complex challenges in industrial settings and drive new innovation."