NVIDIA Project GR00T is a general-purpose foundational model that can revolutionize the way humanoid robots learn in both simulated and real-world environments. Trained in NVIDIA GPU-accelerated simulations, GR00T enables humanoid robots to learn from limited human demonstrations through imitation learning and reinforcement learning in NVIDIA Isaac Lab. It can also generate robot actions from video data. The GR00T model accepts multimodal instructions and past interaction history as input and outputs the actions the robot needs to execute.