Madison Huang, Daughter of Jensen Huang, Visits LG Data Factory to Accelerate Robotics Collaboration

Four Days After Jensen Huang's Meeting
LG-NVIDIA Physical AI Collaboration Takes Shape
Robotics Data Advancement at the Data Factory

Madison Hwang, Senior Director of Omniverse and Robotics Product Marketing at NVIDIA and eldest daughter of NVIDIA CEO Jensen Huang, visited LG Electronics during her trip to Korea. This visit by a key executive is interpreted as accelerating collaboration between the two companies, coming just after CEO Huang and Chairman Koo Kwang-mo of LG Group met in the United States.

On August 18, LG Electronics invited Madison Hwang and other key NVIDIA executives to the LG Data Factory, currently being established in Seocho-gu, Seoul (formerly the Yangjae R&D Campus), to review the direction of collaboration and discuss ways to create synergy. Top executives from LG Group affiliates, including LG Electronics CEO Jaecheol Ryu, LG CNS CEO Hyun Shingyun, and LG Sciencepark CEO Jung Sooheon, also attended the meeting.

Madison Hwang, Senior Director at NVIDIA, along with key NVIDIA executives, visited the LG Data Factory under construction in Seocho-gu, Seoul on the 18th. The photo shows Clyde from LG Electronics welcoming Madison Hwang with a bouquet. LG Electronics. Photo by LG Electronics

CEO Ryu said, “By consolidating key competencies within the group through our 'One LG' initiative and pursuing strategic partnerships with global partners, we will secure competitiveness in physical AI and emerge as a total solution provider in robotics.”

Previously, on August 13 (local time), CEO Huang and Chairman Koo signed a business agreement for collaboration in future strategic business fields at NVIDIA's headquarters in Santa Clara, California. The follow-up meeting at the robot data factory site just four days later is seen as both sides solidifying their partnership in robotics and accelerating commercialization efforts.

Personnel from both companies also checked the operational status of the LG Electronics Yangjae Data Factory, aimed for full operation within the year. LG Electronics is now actively deploying its self-developed and verified LG CLOiD system to generate, collect, and train data.

The Yangjae Data Factory is structured with various spaces for robots to learn diverse tasks and for verifying and refining the data acquired through learning. It serves as both a facility for gathering physical learning data from robots and as an outpost for expanding, synthesizing, and amplifying data collected from LG's global manufacturing and logistics sites, as well as from its home appliances.

Madison Hwang, Senior Director at NVIDIA, along with key NVIDIA officials, visited the LG Data Factory under construction in Seocho-gu, Seoul on the 18th. CEO Jaecheol Ryu, first from the right, and Senior Director Madison Hwang, second from the right, are inspecting the data augmentation synthesis solution at the LG Data Factory. LG Electronics.

In this process, NVIDIA’s technological assets such as the Omniverse library, COSMOS open-world model, and Isaac open robotics development platform are utilized for data collection and application.

The Yangjae Data Factory comprises four floors (one basement and three above-ground) and covers a total area of 10,000 square meters. LG Electronics plans to scale up the number of deployed robots to several hundred by the end of the year, integrating real and virtual data to amass a total of 100,000 hours — approximately 12 years’ worth — of training data.

This latest meeting is expected to accelerate the companies’ partnership in physical artificial intelligence (AI). LG Electronics intends to advance its robot foundation model using the high-quality data collected from the Data Factory, which is scheduled to be fully operational within the year.

Both companies have outlined a vision to move from merely discussing cooperation to actively executing initiatives in robotics, AI factories, and mobility. In an environment set up to resemble a home, LG CLOiD handles cleaning tasks; in a simulated manufacturing environment modeled after LG’s Tennessee washing machine factory, it transports, loads, or assembles parts. Robots are also deployed in LG CNS’s logistics automation solutions and in robot hand training facilities at LG Innotek. All data collected through these deployments is augmented and synthesized using NVIDIA’s robotics solutions, generating the high-quality datasets required for robot training.

Since joining NVIDIA in 2020, Senior Director Hwang has led product marketing to expand the physical AI ecosystem. In April, she met with LG Electronics CEO Jaecheol Ryu at the LG Twin Towers in Yeouido, Seoul, to discuss collaboration in physical AI. In June, she also accompanied the LG team during the 'second Kanbu meeting.'

This content was produced with the assistance of AI translation services.