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LG, Nvidia target 100,000 hours of humanoid training data
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Fusion42 · 18 August 2026 · Fusion42 review
LG Electronics and Nvidia are collaborating to collect 100,000 hours of humanoid robot training data at LG’s Yangjae facility by year-end, using Nvidia's AI technologies to enhance robot perception and task execution across simulated home and manufacturing environments.
This Wire brief sits within Fusion42's coverage of Robotics & UAV. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.
◆ ◆ The Wire takeaway
You must now factor large-scale humanoid training data into your robotics product roadmap as LG and Nvidia are setting a new standard for physical AI data volume. This shift opens a direct path to improved robot adaptability and integration in real-world tasks you can exploit.
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