- Nvidia has presented Blue, a robot developed together with DeepMind and Disney Research as part of the Newton project.
- Blue can move and interact in real time, demonstrating advances in simulation and general robotics.
- Newton is an open source physics engine that will make it easier to develop and train robots in real-life scenarios.
- Nvidia is betting on humanoid robotics with models like the Isaac Groot N1, which allows for personalized capabilities and tasks.
Nvidia has taken a further step in the world of Artificial Intelligence and robotics with the presentation of Blue, an advanced robot with real-time interaction capabilities. This development, the result of a collaboration between Nvidia, Google DeepMind and Disney Research, seek to drive the evolution of humanoid robots through the use of the Newton simulation engine. This evolution in robotics is aligned with the technological trends of 2025.
Blue's live demonstration made a huge impact on attendees at the GTC 2025 event, where Nvidia CEO Jensen Huang demonstrated how the robot was able to respond to their gestures and commands without any pre-programming. This display not only reflected Blue's ability to move naturally, but also showcased Nvidia's potential in next-generation robotics.
Blue and the Newton Physics Engine
One of the most innovative aspects of this project is Newton, an open-source physics engine designed to train robots in simulated environments. This system allows developers to model realistic movements and scenarios, facilitating the transition from theory to practice. The implementation of this engine can have a significant impact on the 5.0 industry.
According to Huang, Newton will revolutionize the way robots learn, as its real-time simulation capabilities will facilitate testing and training without the need for complex physical equipment. Companies like Disney have already shown interest in implementing this system in their theme parks, using Star Wars-inspired droids to interact with visitors in a more realistic and fluid manner.
Isaac Groot N1: The Basis of Humanoid Robotics
Another of the notable announcements was Isaac Groot N1, the first open foundational model for humanoid robots. This system of IA is pre-trained, but allows to be adapted and customized according to the needs of each user or industryThis focus on personalizing robotics is relevant to understanding the future of smart toys.
One of the main features of Isaac Groot N1 is its double system of reasoning: On the one hand, it has a rapid response model based on reflexes and intuition, while on the other hand, it has an analytical system that allows it to evaluate its environment and make more complex decisions.
With this model, Nvidia aims to lay the groundwork for the development of more functional and autonomous robots., which can not only perform mechanical tasks, but also adapt to different contexts and situations.
The future of robotics according to Nvidia
During his speech, Huang stressed that Robotics will be one of the biggest industries of the future, especially due to the projected labor shortage for the next decade. According to their estimates, there could be a shortage of up to 50 million workers worldwide, a deficit that robots could help fill. This phenomenon is also related to the development of AI Pocket Pets and its integration into daily life.
Nvidia's commitment to robotics isn't limited to Blue and Newton; it also includes partnerships with tech giants like Disney and General Motors. Integrating AI into autonomous vehicles and entertainment is just the beginning of what Nvidia plans in this field.
The development of customizable models like the Isaac Groot N1 and investment in advanced training systems like Newton mark an important step toward the democratization of robotics. As these advances are implemented across industries, a new generation of robotics could emerge. robots that will transform the way we interact with technology and the physical world.
Robots will not only be tools for industry or entertainment, but could become assistants fully integrated into everyday life, capable of learning and adapting to human needs more efficiently than ever before.
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