NVIDIA launches GR00T 2 and Isaac Lab 3.0 at CoRL
A range of developers, including RLWRLD, Skild AI, and Flexion, are already using NVIDIA’s latest technology. | today introduced GR00T 2, its updated open frontier world action model, and Isaac Lab 3.0, the latest version of its open-source robot learning framework.
The company made these announcements at the Conference on Robot Learning, or CoRL, in Austin, Texas. NVIDIA also gave a look at how its partners, like Ambi Robotics, Bosch Research, Dexmate, Dyna Robotics, FieldAI, Flexion, Noitom Robotics, Siemens, Skild AI, RLWRLD, UC Berkeley, Walden Robotics, and the University of Washington, are using these technologies. In addition, NVIDIA hosted the MSIT-NVIDIA AI Startup Partnership Forum at COEX. There, the company announced an investment in South Korean startup Point2, with additional investments planned in Motif Technologies, RLWRLD, and Upstage. This week is a precarious time for NVIDIA. Yesterday, the company‘s board opened an investigation into co-founder and CEO Jensen Huang. This was in response to Huang acknowledging to the NVIDIA board that he had an intimate relationship with a business executive that U.S. intelligence determined to be a Chinese spy. In a statement, the board said it has “no reason to believe that either national security or NVIDIA secrets were compromised.” NVIDIA steps up its world action model with GR00T 2 https://www.therobotreport.com/wp-content/uploads/2026/11/groot-2-shipping-label.mp4 NVIDIA said it trained GR00T 2 on diverse robot and human data. The model includes 100,000 hours of NVIDIA open-source egocentric data and is intended to enables robot to learn dexterous manipulation skills. Key features include: Out-of-the-box performance: GR00T 2 completed 40 of 50 evaluated tasks at least once without task-specific demonstrations. Skill transfer: It learns from human demonstrations and transfers skills between different robot bodies without robot demonstrations Generalization with little data: The model achieved 71% average success across 50 tasks with just one demonstration per task, increasing to 95% with five. Agent control: AI agents can use GR00T 2’s application programming interface (API) and supporting tools to run skills in sequence and recover from errors. GR00T 2 currently ranks among the top three models across all vision-language-action (VLA) and world action model categories for the RoboCasa365, RoboLab, RoboDojo, and MolmoSpaces benchmarks, with multiple leaderboard wins, claimed NVIDIA. The company asserted that its open workflows and models equip researchers with better tools for data collection and annotation.
