South Korean technology group LG Electronics and US chipmaker NVIDIA have established a major strategic partnership in the field of physical artificial intelligence. The agreement was finalized by LG Chairman Koo Kwang-mo and NVIDIA CEO Jensen Huang, aiming to integrate advanced AI compute architectures directly into industrial manufacturing and autonomous robotics. The initiative merges NVIDIA's robotics software and silicon stack with LG's global production ecosystem.
A central pillar of the joint roadmap is LG's development of a new bipedal humanoid robot. The machine will utilize NVIDIA's open reasoning model Isaac GR00T to handle complex motor skills and decision-making in unstructured environments. Onboard processing will be driven by NVIDIA's Jetson Thor computing platform. The companies are targeting an official public unveiling of the bipedal system in the first quarter of 2027.
Before the humanoid model makes its debut, LG is taking immediate steps to deploy robotic automation across its current manufacturing footprint. Within 2026, the company plans to roll out its wheeled robot, CLOiD, at its manufacturing plant in Tennessee. This implementation is designed to optimize internal logistics while gathering operational telemetry for future AI-driven factory systems.
In tandem, the two companies are investing in specialized infrastructure for physical AI development. They plan to construct an 80-megawatt Physical AI reference factory in Cheonan, South Korea, scheduled for completion in the first half of 2028. The facility will serve as a testing and blueprint environment where hardware, sensor arrays, and foundation models operate cohesively in industrial conditions.
This collaboration signals a broader strategic pivot from purely digital generative tools toward embodied AI systems that interact with the physical world. By pairing NVIDIA's AI compute and robotics frameworks with LG's high-volume manufacturing capabilities, both partners are positioning themselves to lead the upcoming phase of industrial automation.

