NVIDIA introduces GR00T 2 robot world action model at CoRL
NVIDIA says GR00T 2 hit 71% average success across 50 tasks with one demonstration and 95% with five.
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Microduck trains in simulation and deploys with Isaac Lab 3.0
No post body was available, so only the sim-to-real Microduck and Isaac Lab 3.0 topic is known.
A GPU-Parallel Framework for Heterogeneous Multi-Task Reinforcement Learning
Hebero and DGPO train one policy across 40 robot tasks, reaching 90.1% success with 50 demos.
Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video
Skild AI launched its S1 robot foundation model, built on NVIDIA infrastructure, that learns long-horizon industrial tasks from a single video.
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