GR00T 2 is finally here. NVIDIA’s 2nd generation robot model runs entirely on your robot’s on-board computer. It is open source, so in addition to model weights and X-Adapt recipes, you also get an agentic framework, simulation engine, and training data. This model can perform new tasks with zero shots. It can also master them from a few demonstrations.
Introducing GR00T 2: our most advanced, open System One model for robotics. It runs entirely on your robot’s onboard compute, fully untethered, and you own every weight of it. GR00T 2 features:
1. Long-horizon tasks: dexterous manipulation and whole-body control chained over 20+ steps and 5+ minutes, such as performing chemistry lab experiments or assembling model airplanes end to end.
2. X-Adapt: adapting from easy data sources (human wearables and simulation) and deploying zero-shot to diverse real robots.
3. Unified Cognition: native integrations with frontier agents for advanced physical reasoning, robust error recovery, and safety monitoring.It’s an open-source buffet! We are releasing not only the model weights and X-Adapt recipes (coming December), but also our agentic framework, simulation engine, annotation engine, hardware design, and even training data (100K hours, that’s ~11 yrs of experience), all available today!
Everything that moves will be autonomous. Anyone can become a roboticist.
Lock in, build with us!
Deep dive in thread:
— Jim Fan (@DrJimFan) November 10, 2026
As the researchers explain,
minimal post-training, GR00T 2 performs long-horizon, highly dexterous tasks with two 22-DoF Sharpa hands, such as seating GB300 memory modules (85%) and assembling a toy truck (65%). Previous models could not do these tasks.
[HT]
