Nvidia unveiled GR00T 2, an open AI model that helps robots learn delicate hand skills, trained partly on 100,000 hours of human video. It reached 95% average success with five demonstrations per task in Nvidia’s tests. Foxconn, Siemens and Nexuni are testing it.

Nvidia has unveiled GR00T 2, an AI model that helps robots learn delicate hand skills partly by watching videos of people, the company said on Monday. It announced the model at the Conference on Robot Learning in Austin, Texas.

Nvidia calls GR00T 2 an open “” one that predicts how its actions will change what it sees before it moves.

It was trained on robot data and human video, including 100,000 hours of first-person footage that Nvidia is releasing for anyone to use. That lets robots learn skills from people and pass them between robots with different bodies, Nvidia says. Startups such as Maxinsights pay people to film their chores for the same purpose.

In Nvidia’s tests, GR00T 2 did 40 of 50 tasks at least once with no training for the task. Shown a task once, it succeeded 71% of the time on average, and 95% when shown five times. Nvidia’s own paper notes those tasks were picked from ones the model could already learn well.

Foxconn, which now earns most of its revenue from AI servers, is using GR00T 2 to help build them. Siemens is testing it for factory work and Nexuni is trying it for laundry. None has said it will use it in production yet.

Nvidia also released Isaac Lab 3.0, its open-source tool for training robots in simulation. It says the tool trains up to 2.5 times faster on one test. Partners include Walden Robotics, which launched with $300M in July.

“To me, agentic robotics is the most exciting technological development since the internet in 1995,” said Ken Goldberg, a robotics professor at UC Berkeley who worked with Nvidia on two of the projects.

Earlier GR00T models already underpin robots in development, including LG’s humanoid due in 2027. Siemens has also tested an Nvidia-powered humanoid on an eight-hour factory shift.