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Nvidia CEO Jensen Huang said Artificial Intelligence (AI) A revolution in robotics is on the brink of success, speaking at the annual Consumer Electronics Show conference in Las Vegas on Monday.
“The ChatGPT moment for general robotics is right around the corner,” Huang said, noting its impact OpenAI's ChatGPT Stimulating greater interest in generative AI technology with the release of a conversational AI chatbot in late 2022.
“In fact, all the enabling technologies I'm talking about will make it possible for us to see very rapid advances, amazing advances in general robotics in the next few years.”
Huang said AI tools will help facilitate the development of general robotics technologies in areas such as information technology, self-driving cars and humanoid robots that can help automate more tasks performed in manufacturing facilities and warehouses.
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CEO Jensen Huang holds up Nvidia's Drive Thor processor during a keynote speech at the Consumer Electronics Show on Jan. 6, 2025 in Las Vegas. (via Patrick T. Fallon/AFP/Getty Images)
“Now the reason General Robotics It's so important that where robots with tracks and wheels require special environments to accommodate them, there are three robots, three robots that we can build that don't require a greenfield. Brownfield adaptation is perfect,” Huang explained. “If we can possibly build these amazing robots, we can put them right in the world that we've created for ourselves.”
“Those three robots are one, agentic robots and agentic AI, because they're information workers. As long as they can accommodate computers in our office, that's going to be great. Number two, Self-driving cars. And that's because we've spent over 100 years building roads and cities. And then, number three, humanoid robots,” Huang said.
D Nvidia CEO Adding that advances in robotics to enable these three uses will lead to “the greatest technology the world has ever seen,” he added that the company thinks “the era of robotics is just around the corner.
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Jensen Huang, Nvidia's co-founder and chief executive officer, is pitching the company's AI accelerator chips for data centers. (Akio Kon/Bloomberg via Getty Images)
“The critical capability is how to train these robots. In the case of humanoid robots, it's really hard to collect simulation data, and that's because, in the case of cars, you just drive it, we're driving. All the time,” Huang noted.
“In the case of these humanoid robots, it's rather laborious to duplicate data, human demonstrations. So we have to come up with hundreds of demonstrations, thousands of human demonstrations, and some sort of artificial intelligence and a clever way to use universal. From millions of artificially generated motions, synthetically, AI can learn how to perform a task,” he explained.
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Nvidia's growth has surged in recent years, making it one of the largest US companies by market capitalization (via David Paul Morris/Bloomberg/Getty Images)
Huang's presentation then showed how Nvidia's Isaac Groot initiative provides developers AI-enabled humanoid robots Including technology components including foundation models, data pipelines, simulation frameworks and a Thor robotics computer.
The technologies allow developers to have skilled human workers capture data for training robots, capture motion trajectories when robots are not present, and generate robot policies. Developers can test and validate software in a simulation mode before deploying it to a real robot.
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“NVIDIA Isaac Groot is our platform to deliver technology components to the robotics industry to accelerate the development of general robotics,” Huang said.