humanoid.guide Reports Humanoid Test Results Involving NVIDIA GR00T 2

On November 10, 2026, humanoid.guide reported humanoid test results involving NVIDIA GR00T 2.

When reading reports about robotics foundation models, it is necessary to distinguish evaluations of the model’s capabilities from evaluations conducted when the model is deployed on a physical robot. The former assess areas such as model training and inference, while the latter also involve the robot’s configuration and surrounding conditions. Treating both as simply “success rates” or “performance” can obscure what was actually tested. This article does not verify the results reported; it sets out how to interpret the evaluations. In a related article published on the same date, November 10, 2026, this newspaper covered reporting on NVIDIA’s GR00T 2. That article also emphasized the need to distinguish claims about the model from testing on physical robots. In addition, a report on humanoid control technology using world models addressed the distinction between training in simulation and deployment on physical robots. This latest report, too, should be viewed as a prompt to check what was evaluated and under what conditions, rather than to equate model evaluations with performance in real-world environments. From an industry perspective, evaluations of foundation models need to describe not only the model but also the robot’s configuration, task conditions and evaluation procedures to demonstrate a robot’s practical utility. Results obtained with a particular robot or setup cannot be assumed to apply to other configurations based on the figures alone. Key to making physical-robot evaluations more comparable is whether they specify the robot being evaluated, task definitions, trial conditions and how failures are treated. The next questions are how much of the evaluation conditions have been made public and whether third parties can reproduce the results under the same conditions. The reported results do not establish the range of applicability to other robots or work environments, or how the system behaves during extended operation. Assessing these points requires test procedures and records of operation on physical robots. See the original source for details.