NVIDIA announces GR00T 2 and simulation tools for more precise robots

At the Conference on Robot Learning (CoRL) in Austin, Texas, NVIDIA announced GR00T 2, an open world action model built on NVIDIA Cosmos, along with simulation tools, benchmarks and workflows for agentic robotics. The company says the model completed at least once 40 of 50 evaluated tasks without task-specific demonstrations and achieved a 71% average success rate with one demonstration per task, rising to 95% with five. The system can also transfer skills between different robots and help AI agents execute sequences and recover from errors.

Two NVIDIA papers are among CoRL’s six Best Paper Award finalists: GRAIL, about generating 3D assets and simulation-ready scenes, and RoboTTT, which expands the context of visuomotor policies by three orders of magnitude without increasing inference latency, according to the company. NVIDIA says organizations including Nexuni, Foxconn and Siemens are already testing GR00T 2 for robotic laundry handling and industrial automation.