CES 2025, Las Vegas – NVIDIA announced NVIDIA Isaac GR00T blueprint. It is built for motion generation that helps developers generate exponentially large synthetic motion data to train their humanoids using imitation learning.
NVIDIA Isaac GR00T
NVIDIA Isaac GR00T helps with synthetic motion generations in imitation learning – a subset of robot learning. This helps humanoids to acquire new skills by observing and mimicking expert human demonstrations.
It starts with the GR00T-Teleop workflow that lets you tap into the Apple Vision Pro to capture human actions in a digital twin. These human actions are mimicked by a robot in simulation and recorded for use as ground truth.
The GR00T-Mimic workflow then multiples the captured human demonstration into a larger synthetic motion dataset. Lastly, the GR00T-Gen workflow, built on the NVIDIA Omniverse and NVIDIA Cosmos platforms exponentially expands the dataset through domain randomization and 3D upscaling.
The dataset can then be used as input to the robot policy, which teaches robots how to move and interact with their environment effectively and safely in NVIDIA Isaac Lab, an open-source and modular framework for robot learning.
Collectively, NVIDIA Isaac GR00T, Omniverse, and Cosmos are helping physical AI and humanoid innovation take a giant leap forward. Major robotics companies have started adopting and demonstrated results with Isaac GR00T.
Humanoid software, hardware, and robot manufacturers can apply for early access via the NVIDIA humanoid robot developer program.
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