Nvidia modernizes and standardizes the way robots are trained.

Nvidia has revealed Project GR00T, where robots enabled with this technology will be built to imitate human movements and understand natural language, according to Envy they will quickly acquire coordination dexterity and other skills, allowing them to navigate, adapt and interact with the real world more quickly.

This basic general-purpose model created especially for humanoid robots promises to advance research efforts in robotics and already incorporated. In conjunction with the Initiative the company has also revealed major enhancements to the Nvidia Isaac™ robotics platform including AI-based generative models, simulation tools and AI workflow infrastructure, as well as a new Jetson Thor computer.

Building basic models for human robots in general is one of the most interesting problems to solve in AI today, enabling technologies are coming together to allow leading roboticists around the world to make giant leaps towards artificial general robotics, Jensen said. Huang founder CEO of nvidia.

Nvidia has developed a new computing platform, Jetson Thor can perform complicated tasks and interact safely and naturally with humans and other machines, its modular architecture is maximized in terms of power, size and performance, to run multimodal generative AI models such as GR00T The system features a next-generation GPU based on the Envy Blackwell architecture with an engine that delivers 800 teraflops of 8-bit floating point AI capacity.

Nvidia claims to greatly simplify design and integration efforts with its integrated functional safety processor, 100 Gbit of Ethernet bandwidth, and high-performance CPU cluster for leading humanoid robot companies including 1X Technologies, Agility Robotics, Apptronik. , Boston Dynamics, Figure AI, Fourier Intelligence, Sanctuary AI, Unitree Robotics and XPENG Robotics, among others.

Nvidia is developing a comprehensive AI platform, large volumes of synthetic and real data are required to build embedded AI models, built on Isaac Lab which is an extensible robotics simulation platform, the new Isaac Lab is a lightweight program with optimized performance and GPU accelerated, designed to run thousands of simultaneous simulations for robot learning.

According to Nvidia OSMO coordinates data collection, model training and software workflows, Hardware in distributed configuration to scale robot development workloads in heterogeneous computing, in short, Nvidia wants to accelerate the development of humanoid robots and To do this, it is using its experience and all its technology so that humanoid robots in all companies use Artificial Intelligence to become increasingly more trained.

According to the technology giant, path planning can be accelerated up to 80 times, increasing productivity and performance, allowing developers to automate more and more innovative robotic jobs.

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