Nvidia Uses New AI Model to Give Robots a Brain: Is this the Future of Robotics?

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– Nvidia has revealed GR00T, a new AI model designed to give robots the ability to carry out tasks without being pre-programmed.
– GR00T is part of a mission to solve the problem of embodied AI in the physical world, allowing robots to learn tasks by watching humans.
– Companies like Figure and Google are also working on projects to give robots the ability to reason, learn, and think for themselves, with Nvidia aiming to create a framework for building humanoid robots.

Nvidia has introduced a new artificial intelligence model called GR00T, designed to give robots the ability to carry out tasks without the need for pre-programming. This is part of Nvidia’s GEAR lab’s mission to solve the problem of embodied AGI in the physical world, allowing future superintelligences to navigate the real world. GR00T was showcased by Nvidia CEO Jensen Huang at GDC, demonstrating two Disney-made robots that learned to walk using Nvidia AI. By being general purpose, GR00T enables robots to learn tasks by observing humans, which could be useful in assembly lines or hazardous environments.

Embodied AI is a growing area of research that aims to give AI models the ability to interact with the real world, such as Google’s recent SIMA gaming agent. Companies are already developing robots that can operate in hazardous environments independently, performing tasks that are dangerous or monotonous for humans. Partnerships like Figure’s collaboration with OpenAI to enhance their humanoid robots’ reasoning and learning abilities show the potential for AI in robotics.

GR00T is not a literal tree but an AI framework created by Nvidia’s GEAR lab to enable robots to understand multimodal instructions and perform various tasks. This framework, built on Nvidia’s deep technology stack, is meant to be versatile and work across different body types and ecosystems. The goal is to create generalist robots that can be deployed in various real-world tasks without the need for specific programming or training for each task. NVIDIA’s plan is to create an underlying framework for companies building humanoid robots.

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