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LG's Robot Data Factory Hits Full Speed: 500,000 Training Hours, a Q1 2027 Bipedal Debut and a 2030 Home Robot Goal

LG's Robot Data Factory Hits Full Speed: 500,000 Training Hours, a Q1 2027 Bipedal Debut and a 2030 Home Robot Goal

LG Electronics says its 10,000-square-meter Data Factory at the Yangjae R&D campus goes into full operation this quarter, on track to bank 500,000 hours of robot training data this year - five times its original target. The company plans to unveil a bipedal humanoid built on NVIDIA's Isaac GR00T in the first quarter of 2027 and to enter the home robot market by 2030, with CLOiD as its first home platform.

LG Electronics used its third-quarter earnings call on October 28 to lay out the most concrete robotics roadmap in the company's history: a data factory running at full capacity this quarter, a bipedal humanoid to be unveiled in the first quarter of 2027, and a stated ambition to sell humanoid robots into homes by 2030.

The centerpiece is the Data Factory at LG's Yangjae R&D campus in Seoul — a four-floor, 10,000-square-meter facility that enters full operation in the fourth quarter. By year-end it will house several hundred robots, including LG CLOiD home robots practicing cleaning tasks in a replicated home environment, and units moving, stacking and assembling parts in a simulated manufacturing space modeled on LG's washing machine plant in Tennessee.

Data is the point of the building. LG said it now expects to accumulate 500,000 hours of robot training data this year — five times its original target of 100,000 hours — by combining data collected from real environments with synthetic data generated using NVIDIA's Cosmos world models. The company's bet is a "data flywheel": manufacturing and logistics data accumulated over decades feeds model training, better models ship into more deployments, and the deployments generate better data.

The NVIDIA connection runs through all of it. LG signed a strategic memorandum of understanding with NVIDIA at the chipmaker's Santa Clara headquarters on August 13, and senior NVIDIA officials — including Madison Huang, the CEO's daughter and a senior director at the company — visited the Data Factory days later. LG plans to unveil a bipedal humanoid built on NVIDIA's Isaac GR00T robot foundation model in the first quarter of 2027, trained with Omniverse and Cosmos in virtual environments. The company has not confirmed whether the robot will be exhibited at CES 2027.

Hardware is being developed in parallel across the group. LG built a pilot production line for actuators — the joint components that largely determine a humanoid's dexterity and cost — at its Changwon factory this year, while LG Innotek contributes cameras and sensors, LG Energy Solution batteries, LG AI Research the physical AI models, and LG CNS a robot management platform called PhysicalWorks that assigns tasks to robots of any manufacturer. Chief financial officer Kim Chang-tae framed the strategy as moving beyond individual devices to a comprehensive solutions provider spanning components, hardware, software and data.

The consumer endgame is the "Zero Labor Home" vision LG teased at CES, where CLOiD — a home robot that can fold towels and move objects — made its debut. Executives are candid that home humanoids must first be validated in business-to-business settings, and that affordability and reliability remain unsolved. The 2030 date is a target, not a product announcement.

The competitive backdrop sharpens the stakes. Samsung's chairman Lee Jae-yong spent roughly three hours reviewing humanoid progress at the group's robotics office on October 27, the fourth anniversary of his chairmanship, with Samsung betting on precision manipulation tested in its own factories. Chinese rivals are racing up the value chain on physical capability and price. LG's wager is different: that in robotics, as in chips, whoever owns the training data and the management platform owns the margin.

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