NVIDIA introduced GR00T 2 on November 9, 2026, at the Conference on Robot Learning (CoRL) in Austin, and reported 40% zero-shot success on 50 tasks absent from the target robot’s training data for a model trained partly on human video. GR00T 2 uses a 2-billion-parameter transformer built on Cosmos-Predict2.5-2B. It combines recent camera views, robot state and a written instruction to generate expected future views and the next action sequence. One pretrained checkpoint covers parallel-gripper…
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NVIDIA Introduces GR00T 2 for Robots Learning From Human Video