Nvidia announces plans for humanoid robot, self-driving car technologies at CES 2026

LAS VEGAS — Nvidia ( NVDA ) is announcing its latest robotics advances at CES 2026 as the broader tech industry begins a large-scale effort to bring humanoid robots to life.

During the company’s keynote on Monday, CEO Jensen Huang revealed that firms ranging from Boston Dynamics and Caterpillar ( CAT ) to LG Electronics and NEURA Robotics are using Nvidia’s robotic technologies to develop and operate their various bots.

Nvidia has claimed that physical AI could revolutionize the $50 trillion manufacturing and logistics industries, and the company wants to be at the center of it all.

During CES, Nvidia unveiled a variety of new AI models to help robots train to interact with the world around them, as well as the hardware needed to power their digital brains.

Nvidia said a number of robotics companies are using its technologies to advance the industry and what their products can do. (Image: Nvidia) · Nvidia

In addition to a humanoid bot, Nvidia showed a new family of models for self-driving cars called Alpamayo. According to the company, Alpamayo uses a vision language action model (VLA) based on reasoning on the chain of thought.

That’s a lot to take in, but essentially the models can recognize unique driving situations that might not otherwise occur during regular driving and come up with the appropriate way to move forward.

For example, the model can see that a traffic light is off when a vehicle is approaching an intersection, recognize the problem, and try to figure out what to do next.

Nvidia said the models are meant to serve as “large-scale master models that developers can tweak and distill into the backbone of their kits. [self-driving] heaps.”

In other words, Alpamayo is meant to help developers improve their self-driving vehicle technologies over time.

Nvidia said companies including Lucid (LCID), Uber (UBER), and Berkeley DeepDrive have shown interest in Alpamayo.

Self-driving vehicles are hitting roads around the world, with Google’s Waymo leading the way, but they aren’t perfect yet. Some cars caused traffic jams and got confused in certain situations.

Nvidia sees virtual training as a useful solution for continuous technology development, allowing developers to teach their AI models without having to put cars on the road all the time.

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Email Daniel Howley at dhowley@yahoofinance.com. Follow him on Twitter at @DanielHowley.

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