Madison Huang, senior director of Omniverse and Robotics product marketing at NVIDIA, will visit Samsung Electronics and SK Hynix on the 29th to discuss cooperation plans. She is the eldest daughter of NVIDIA CEO Jensen Huang and is in charge of physical AI, digital twins, and robotics businesses.
Her visit does not end there. That same day, Huang will move to the Doosan Robotics Innovation Center in Bundang, Seongnam, where she will sit down with CEO Kim Min-pyo. Discussions on cooperation with Naver are also coming into view. Over the two-day schedule, she has lined up a route that connects Korea’s semiconductors, home appliances, industrial robots, and platform companies in one sweep.
The two days began with a lecture at Seoul National University.
At Seoul National University campus the previous day, a hands-on program for building autonomous AI agents, called “Build a Claw,” was held. Huang personally took part in the event.
The sequence is one of cultivating talent first, then moving on to industrial cooperation. That afternoon, she met LG Electronics President Ryu Jae-cheol at LG Twin Tower in Yeouido, Seoul. On the agenda was a plan to connect LG’s home robot “Cloid” with NVIDIA’s robotics platform “Isaac.”
The focus of the schedule on the 29th is the two memory-chip leaders. This is Samsung Electronics’ second visit after last year. On his first trip to Korea, he visited the Seoul R&D Campus and the Suwon Production Technology Research Institute (GTR), and now he has returned to the same stage. The Production Technology Research Institute is an organization under the Device eXperience (DX) division and a key base for designing smart factories based on robotics, automation, and digital twins.
The key keyword drawing attention from the industry is NVIDIA’s “Jetson Thor” AI computing platform.
Based on Blackwell graphics processing units (GPUs), this module runs large language models and vision models directly on the robot itself without going through the cloud. Humanoid developers such as Boston Dynamics, Figure, and Neura Robotics have already adopted it as their brain.
Last November, Samsung Electronics disclosed a plan with NVIDIA to build a “semiconductor AI factory,” saying it would introduce more than 50,000 GPUs over the coming years.
At the same time, it also specified a direction to “strengthen inference and safety control for intelligent robots by using the Jetson Thor robotics platform.” This is why Madison Huang’s visit is being read as the work of filling in real schedules and specifications for that larger vision.
The agenda at SK Hynix is different in nature. As NVIDIA’s key memory partner, the table will include supply schedules for next-generation high-bandwidth memory (HBM) and data center solutions. SK Hynix’s “liquid-cooled eSSD,” co-developed with NVIDIA, was already unveiled at GTC 2026.
At the Doosan Robotics Innovation Center, Madison Huang discussed industrial humanoid collaboration with CEO Kim Min-pyo.
Kim said, “By combining Doosan’s hardware manufacturing capabilities with NVIDIA’s software ecosystem, we will push ahead with intelligent robot solutions and the commercialization of industrial humanoids.” The core agenda is linking Doosan’s robot operating system, “Agentic Robot OS,” with NVIDIA Isaac simulation.
If the possibility of cooperation with Naver is added, this visit can be summed up as an effort to examine four pillars at once: semiconductors, robots, home appliances, and platforms.
One industry source noted, “AI is now moving beyond software and into actual industry,” adding, “For NVIDIA, Korea’s manufacturing sector is a key partner.”
Huang made a solo visit to Korea last September, and in October he came again with his father, CEO Jensen Huang, during the Asia-Pacific Economic Cooperation (APEC) period. This is his third visit. In about seven months, the same person has toured Korea’s industrial sites three times.
To realize physical AI, chips and models alone are not enough. You need a stage where robots move, cars drive, and home appliances learn.
Korea is a manufacturing powerhouse with global competitiveness in memory semiconductors as well as automobiles, home appliances, smartphones, shipbuilding, steel, and shipping. That is why analysts say AI must inevitably be combined with this industrial base to function in the real world.
Madison Huang’s tightly packed itinerary was a condensed map showing where, with whom, and at what pace that integration is taking place.