WORLDTECHNVIDIA’s GR00T 2 transfers human skills to robots with just five task demonstrations
What happened
NVIDIA has introduced a new generation of robot foundation models that can transfer skills demonstrated by humans to machines that have never practiced those tasks. In tests involving 50 tasks that were not demonstrated on the target robot, GR00T 2 achieved a 40 percent average success rate without task-specific training. NVIDIA is a semiconductor company based in Santa Clara.
Called GR00T 2, the world-action model predicts future video and robot movements together. This allows it to learn how physical interactions unfold and work out the actions needed to complete a task.
The model is designed to work across different robot bodies, including parallel-gripper arms, dexterous five-fingered hands and humanoids. NVIDIA says it can learn from human videos, handheld grippers, and demonstrations collected using other robots.