NVIDIA introduces GR00T 2 world-action robotics model and releases 100k hours of human video

NVIDIA unveiled GR00T 2 and Isaac Lab 3.0 at the Conference on Robot Learning (CoRL) in Austin on 9 November 2026. Rather than mapping camera frames directly to joint torques like standard vision-language-action models, GR00T 2 is a world-action model built on NVIDIA Cosmos: a single diffusion transformer jointly denoises predicted future video frames and multi-step robot action chunks. Predicting how objects and hands move in pixel space lets the policy transfer physical intuition from human videos with zero robot action labels.

Training scale and onboard latency

NVIDIA pretrained GR00T 2 across 402,730 hours of egocentric human video, 10,184 hours of handheld Universal Manipulation Interface (UMI) gripper trajectories spanning 2,897 tasks, and 23,500 hours of robot teleoperation. Alongside the paper, NVIDIA released Human-1M-100K, an open 100,000-hour subset of the egocentric corpus on Hugging Face, with model code scheduled for December 2026. On real-world bimanual and humanoid benchmarks, GR00T 2 completes 40 of 50 tasks zero-shot, reaches 71% success from a single robot demonstration, and hits 95% after five demonstrations and 30 minutes of post-training on one RTX 5090 GPU. A distilled variant, GR00T 2 Turbo, executes onboard a Unitree G1 humanoid’s Jetson Thor computer at 124 ms per prediction.