Humanoid Policy Work Gets One Continuous Pipeline

NVIDIA introduced GR00T 1.7 and an end-to-end development path for humanoid robot policies. The Apache-2.0 model accepts images, language, and robot state before producing actions, while the surrounding workflow carries demonstrations from Isaac Teleop through LeRobot-formatted data, post-training, simulated evaluation, and deployment. NVIDIA says the model was pretrained on roughly 32,000 hours of real demonstrations and egocentric video plus 8,000 hours of simulated data. These are company-reported training and benchmark figures; physical reliability still depends on each robot, task, and safety process.