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Nvidia's GR00T Model Tries to Make Humanoid Robots Real

The company's 'GR00T' model is designed to power general-purpose robots, enabling them to understand human language and emulate human movements.

 & Michael Kan Principal Reporter

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(Credit: Nvidia)

Nvidia's new computer model is designed to pave the way for AI-powered humanoid robots. 

At the company’s GTC event in San Jose, Nvidia announced “Project GR00T,” a software platform that can enable a robot to understand human language and replicate human actions. 

The computer model promises to help today’s robot makers build machines capable of interacting with humans and navigating real-world environments. “The ChatGPT moment for robots might be around the corner,” says Nvidia CEO Jensen Huang. 

(Credit: Nvidia)

GR00T stands for Generalist Robot 00 Technology, and it’s designed to act as a “foundational model” that companies can build on, bypassing the need to merely rely on pre-programmed commands for their bots.  

GR00T is able to understand both human language and videos as input. This means you can essentially feed the computer model video clips depicting a human movement. The model will then train itself to replicate the action in a virtual simulation, gaining the dexterity and coordination to pull off and imitate the movement in the real world. 

(Credit: Nvidia)

The software model arrives as OpenAI —a major buyer of Nvidia GPUs— has also been using its own AI models to power a humanoid robot from a startup called Figure. In a demo last week, Figure showed how its robot could have full conversations with a human, thanks to the OpenAI integration. 

In Nvidia’s case, the company has also developed “Jetson Thor,” a system-on-a-chip that can run GR00T and other computer models meant for humanoid robots. Jetson Thor will feature a GPU based on Nvidia’s Blackwell architecture, which represents a major upgrade from the company’s existing Hopper H100 GPUs. 

Nvidia adds that it’s building AI platforms for leading robotics companies including Boston Dynamics, Figure, and Agility Robotics

About Our Expert

Michael Kan

Michael Kan

Principal Reporter

My Experience

I've been a journalist for over 15 years. I got my start as a schools and cities reporter in Kansas City and joined PCMag in 2017, where I cover satellite internet services, cybersecurity, PC hardware, and more. I'm currently based in San Francisco, but previously spent over five years in China, covering the country's technology sector.

Since 2020, I've covered the launch and explosive growth of SpaceX's Starlink satellite internet service, writing 600+ stories on availability and feature launches, but also the regulatory battles over the expansion of satellite constellations, fights with rival providers like AST SpaceMobile and Amazon, and the effort to expand into satellite-based mobile service. I've combed through FCC filings for the latest news and driven to remote corners of California to test Starlink's cellular service.

I also cover cyber threats, from ransomware gangs to the emergence of AI-based malware. In 2024 and 2025, the FTC forced Avast to pay consumers $16.5 million for secretly harvesting and selling their personal information to third-party clients, as revealed in my joint investigation with Motherboard.

I also cover the PC graphics card market. Pandemic-era shortages led me to camp out in front of a Best Buy to get an RTX 3000. I'm now following how the AI-driven memory shortage is impacting the entire consumer electronics market. I'm always eager to learn more, so please jump in the comments with feedback and send me tips.

The Best Tech I've Had:

  • My first video game console: a Nintendo Famicom
  • I loved my Sega Saturn despite PlayStation's popularity.
  • The iPod Video I received as a gift in college
  • Xbox 360 FTW
  • The Galaxy Nexus was the first smartphone I was proud to own.
  • The PC desktop I built in 2013, which still works to this day.

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