"It Was Fantastic" Jensen Huang's Daughter Seals 'Robot Alliance' with LG through Physical AI
Met With CEO Ryu Jaechul for Over an Hour
"Discussed Physical AI, AI Infrastructure, and Robotics"
Madison Hwang, Senior Director of Marketing for NVIDIA Omniverse and Robotics, who is currently visiting Korea, said on the 28th that she had a "fantastic discussion" with LG Electronics regarding physical artificial intelligence (AI) and robotics.
Madison Hwang, Senior Director of Marketing for NVIDIA Omniverse and Robotics, is seen leaving after a meeting with senior executives of LG Electronics on the 28th at the LG Twin Towers in Yeouido, Seoul. Photo by Hyunji Kwon
View original image
Madison Hwang, Senior Director of Marketing for NVIDIA Omniverse and Robotics, is seen leaving after a meeting with senior executives of LG Electronics on the 28th at the LG Twin Towers in Yeouido, Seoul. Photo by Kwon Hyunji
View original imageAfter meeting with senior executives of LG Electronics, including President Ryu Jaechul, at the LG Twin Towers in Yeouido, Seoul, on this day, Hwang told reporters, "We discussed topics such as physical AI, AI infrastructure solutions, and robotics." As the eldest daughter of NVIDIA CEO Jensen Huang, Madison Hwang is recognized as one of the key figures driving the expansion of the global robotics ecosystem. The meeting lasted approximately one hour and ten minutes.
It is known that the two companies placed significant emphasis on discussing technological collaboration in robotics. One of the ideas mentioned was the integration of LG Electronics' home robot, "LG CLOiD," which was unveiled at CES 2026 earlier this year, with NVIDIA's robotics platform "Isaac." LG Electronics plans to evolve CLOiD into an "AI home partner" capable of autonomous decision-making and actions by utilizing NVIDIA's simulation-based learning technology. To help realize LG Electronics' vision, NVIDIA plans to support the company with its graphics processing unit (GPU), AI software, and simulation technologies.
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In the field of physical AI, the companies also plan to strengthen cooperation in generating training data and researching robotic learning models, as well as to further advance next-generation technologies such as smart factory solutions utilizing digital twin technology.
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