Robots rehearse delicate assembly in simulation: NVIDIA's Isaac Lab 3.0 with Newton reaches up to 2.5x training throughput
At CoRL, NVIDIA released an open robotics stack including GR00T 2, a world action model built on Cosmos, the Isaac Lab 3.0 simulation framework and the Isaac Lab-Arena evaluation framework. Tighter integration between Isaac Lab 3.0 and the open-source Newton physics engine lets it model deformable objects such as cables and cloth and multi-joint robotic hands; on a vision-based dexterous manipulation benchmark, Isaac Lab 3.0 with Newton reached up to 2.5x the training throughput of Isaac Lab 2.3 with PhysX. GR00T 2 averaged 71% success across 50 tasks with one demonstration per task, rising to 95% with five.