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The event GTC 2025 Nvidia began yesterday with an inaugural talk in which Jensen Huang machine -gunned us with a real Building burst. Among them, especially those focused on an area in which the company is especially optimistic: robotics.
Foundational model. In March 2024 NVIDIA He already told us about his Project Grootand now said project has crystallized in the call Isaac Gr00t N1which qualify as the first open foundational model for humanoid robots. That is to say: the model is pretended, but it can be customized for all types of scenarios, both “domestic” and industrial.
“The era of generalist robotics is here”. Huang declared how this new era began with this launch, and pointed out that thanks to Isaac Gr00t N1 and new data generation systems and learning for robots, developers can create much more capable robots.
Robotic labor. The CEO of Nvidia highlighted how “it is very likely that this is the largest industry of all. At the end of this decade, at least 50 million workers will miss in the world. We would be more delighted to pay $ 50,000 to each one to come to work; we will probably have to pay the robots 50,000 dollars a year (instead).”
Humanoid robots in sight. In The last part of your presentation Two and a half hours, the Nvidia CEO focused precisely on robotics, and for example showed videos of humanoid robots Neo gamma of the company 1x, which are based on Isaac Gr00t N1 and that already show their Potential as domestic robots. Other companies like Boston Dynamics –Creators of Atlas-, Quesoe Robotics and Neura Robotics are also developing this type of robots and have enjoyed preliminary access to the Nvidia robotic platform.
Think quickly, think slowly. This foundational model uses a double architecture inspired by human cognition. Thus, system 1 is “a fast thinking action model” similar to what humans have with reflexes and intuition. System 2, enhanced by a vision model, is “a model of slow thought” that reasons about its environment and the instructions he receives and then raised his actions.
Learning to move. This model therefore raises a pillar to develop robots (humanoids or not) that can operate in the real world. Thus, GR00T N1 can generalize and adapt to common tasks such as taking objects, moving them with one or two arms or carrying them from one place to another. Basic and limited operations are at the moment, but they are an important first step for the robots of the future. Basically these robots are learning to walk.
A customizable model. Nvidia offers large information so that developers can start working with this model. Thus, we have both the Technical information Like project files available in Github.
And data to train robots. Robots need huge amounts of data to be trained and learn to interact in the physical world. Nvidia ACBA to offer A huge and available data set in Hugging Face for this area. They are 15 TB of data that represent “more than 320,000 trajectories for robotic training”, in addition to 1,000 “scenarios” Scene Description (Openusd) to contribute to that training.
Collaboration with Disney and Deepmind. Another of the robotic projects is the alliance with these companies to develop Newtonan Open Source physics engine that allows robots to learn how to manage tasks of all kinds with greater precision. Disney will be one of the first to use these robots, and in fact Huang finished the demo with a unique co -presenter: a robot that he called Blue and that was inspired by the BDX droids of Star Wars. It is something that Disney already pointed out years agoand it is likely that this type of entertainment robots will end in their attraction parks.
Image | Nvidia
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