On November 9, 2026, at the Conference on Robot Learning (CoRL) in Austin, Texas, NVIDIA researcher Jim Fan unveiled GR00T 2, the next generation of NVIDIA's robotics foundation model. Unlike its predecessors, GR00T 2 is a 'World Action Model' (WAM): rather than only predicting the robot's next action, the model simultaneously generates the next video frames—imagining what it will see—and the physical actions it will execute. All of this is built on NVIDIA Cosmos, NVIDIA's world model platform.
What Did NVIDIA Announce with GR00T 2?
According to coverage from Humanoids Daily and CryptoBriefing at the event, NVIDIA presented GR00T 2 with the following capabilities: it achieves 71% average success across 50 diverse tasks with a single demonstration, rising to 95% with five demonstrations (NVIDIA's figures). Alongside GR00T 2, NVIDIA announced a lighter variant, GR00T 2 Turbo, optimized for faster inference. NVIDIA also launched Isaac Lab 3.0, a modular simulation platform supporting multiple physics engines—Newton and PhysX—enabling large-scale training of manipulation robots. To encourage independent evaluation, NVIDIA introduced two open industrial benchmarks: DexBench and VABAR. Open weights for GR00T 2 are scheduled for release in December 2026.
"NVIDIA's shift toward models that 'imagine before they act' represents an important conceptual leap. For businesses, the real value is not the robot itself—it's that these models dramatically reduce the data and time needed to teach a robot a new task."
Davarion Group & LabsWhat This Changes for SMBs
- 01Light manufacturing and assembly: Robots trained with GR00T 2 can learn assembly tasks from few demonstrations, making automation viable on small and medium production lines.
- 02Logistics and warehouses: The ability to generalize to new tasks without full retraining reduces adoption costs in distribution centers of any size.
- 03Real limitation: Model weights won't be available until December 2026; GR00T 2 is not yet ready for commercial deployment today. Plan around that date.
- 04Recommended action now: Identify which repetitive physical tasks in your operation are candidates for robotic automation and start documenting the steps; that documentation will be the foundation for training or integrating these models when they become available.
The Isaac Lab 3.0 announcement is also significant for industrial SMBs: by making simulation modular and compatible with different physics engines, NVIDIA lowers the barrier for local integrators and mid-sized companies to simulate and validate robotic workflows without costly hardware in the early stages. This opens a window for businesses in sectors like manufacturing, healthcare, distribution, and food service in Houston to explore robotic automation more accessibly.
At Davarion Group & Labs, we continuously evaluate these technologies to identify which ones have practical application for small and medium businesses in Houston. If you want to understand how AI-driven robotics—including models like GR00T 2 when they reach public availability—could fit into your operations, let's discuss the concrete options for your specific case.
