Nvidia’s new model brings humanoid robotics a step closer to reality

Nvidia has unveiled a new model which could form the foundation of future humanoid robotics projects, representing a step forward toward a reality of generalist robots.

The Nvidia Isaac Groot N1 model is open source and fully customizable for various robotics uses, inspired by the way that humans think. It consists of two systems, one of which is fast-reacting, similar to human reflexes, while the other is slower-thinking for careful decision making.

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The slower system can perform reasoning, such as assessing its environment and planning out how to perform a commanded action. Then the faster system can turn that plan quickly into a series of movements for the robot to perform. The model can also generalize, so it can learn from handling one object about how to handle other kinds of objects too.

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The model will be available worldwide to robotics developers, who can build on it to meet their own particular robotics needs. A humanoid robot from 1X trained on Groot N1 was used to demonstrate the capabilities, autonomously performing a tidying up task for the home.

“The future of humanoids is about adaptability and learning,” said Bernt Børnich, CEO of 1X Technologies. “While we develop our own models, NVIDIA’s GR00T N1 provides a significant boost to robot reasoning and skills. With minimal post-training data, we fully deployed on NEO Gamma — advancing our mission of creating robots that are not just tools, but companions capable of assisting humans in meaningful, immeasurable ways.”

Other well-known names in robotics including Boston Dynamics and Agility Robotics have already gained access to Groot N1 for their development, and Nvidia says it is working on a whole family of related pre-trained robotics models.

“The age of generalist robotics is here,” said Jensen Huang, founder and CEO of NVIDIA. “With NVIDIA Isaac GR00T N1 and new data-generation and robot-learning frameworks, robotics developers everywhere will open the next frontier in the age of AI.”

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