MIND AI Wins Science and ICT Minister's Award at Newsis 'Next-Generation Technology Leader Award'
TECHWORLD ·
✦ AI Summary
MIND AI won the Science and ICT Minister's Award at Newsis' "Next-Generation Technology Leader Award."
The award recognized the company's physical AI capabilities.
MIND AI said it received the award at the "2026 Newsis 25th Anniversary Forum: Korea 10 Years From Now," held on the 19th.
MIND AI won the Science and ICT Minister's Award at Newsis' "Next-Generation Technology Leader Award." The award recognized the company's physical AI capabilities. MIND AI said it received the award at the "2026 Newsis 25th Anniversary Forum: Korea 10 Years From Now," held on the 19th.
The theme of this year's forum was "NEXT KOREA: The Next Republic of Korea Shaped by Technology." The forum was held to discuss the industrial and employment impact of advanced technologies such as AI and semiconductors.
MIND AI is developing physical AI technology. Physical AI refers to the expansion of AI from the software domain into the real physical environment.
MIND AI has built a technology system that connects AI models, on-device AI, robot control, autonomous driving, and integrated control. This system supports robots' perception of their surroundings as well as situation-based judgment and actions.
One of the core technologies highlighted was the on-device AI platform MAIED. MAIED is a platform that lightens and optimizes AI models so they can run inside robots. The platform is linked with the autonomous driving technology NAVICOM and the integrated control system RMS, and was described as a structure that supports movement, mission execution, and operational management.
The company has also built infrastructure to secure data for robot training. In Pangyo, it operates a "physical AI data factory," where real robot operation data is linked with simulation data. The linked data is used to train, apply, and verify AI models, and based on this, the company is pushing ahead with industrial deployment of various robot platforms, including the quadruped robot Jindobot.
Technical presentations by the award-winning companies were also held that day. Son Byung-hee, head of MIND AI's Defense AI & Robotics division, presented under the theme "From Talking AI to Acting AI" and introduced the direction of development for physical AI. Son explained the direction of combining AI models, on-device AI, and robot hardware, and said robots need to recognize situations on their own and make autonomous decisions even in environments with limited network connectivity.
The disclosed case studies showed both a quadruped robot pilot project underway in Cheonan and a robot training data construction case, presenting a plan to use data accumulated in the field for training other robots. It also described efforts to advance technology in the direction of improving the intelligence of the entire data-sharing and learning-based system.
Son said the key to competitiveness in physical AI lies not only in the performance of individual robots but also in effectively learning from and sharing field experience. He added that the company plans to expand industrial deployment based on its capabilities connecting AI models, on-device technology, robot platforms, and data factories.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408399
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Source: TECHWORLD
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