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said Jensen Huang, CEO of Nvidia artificial intelligence (AI) The revolution is on the verge of making breakthroughs in robotics, as he spoke at the annual Consumer Electronics Show in Las Vegas on Monday.
“ChatGPT's moment for public robotics is nigh,” Huang said, pointing to its impact. ChatGPT OpenAI With the release of an AI chatbot in late 2022, there will be more interest in generative AI technology.
“In fact, all of the enabling technologies that I've talked about are going to allow us in the next few years to see very rapid advances, amazing advances in general robotics.”
Artificial intelligence tools will help facilitate the growth of general robotics technologies in areas such as information technology, self-driving cars and humanoid robots that can help automate more of the work done in facilities and warehouses, Huang said.
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CEO Jensen Huang holds up Nvidia's Thor Drive processor during a speech at the Consumer Electronics Show in Las Vegas on Jan. 6, 2025. (Patrick T. Fallon/AFP via Getty Images)
“Now the reason General robotics Importantly, while robots with tracks and wheels require specific environments to accommodate them, there are three robots, three robots in the world that we can build without the need for green fields. “If we could build these amazing robots, we could deploy them right into the world we've created for ourselves,” Huang explained.
“These three robots are one and the same, agent bots and agent AI, because they are information workers. As long as they can accommodate our office computers, that would 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.
this CEO of Nvidia Advances in robotics to enable these three applications will lead to “the greatest technology in the world,” he added, adding that the company thinks “the age of robotics is upon us.”
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Jensen Huang, co-founder and CEO of Nvidia, has the company's artificial intelligence accelerator chips for data centers. (Akio Kon/Bloomberg via Getty Images)
“The critical capability is how these robots are trained. With humanoid robots, it's really hard to gather imitation information and that's because with a car, you just drive it, we're driving the car. All the time,” Huang noted. .
In the case of these humanoid robots, imitation information is relatively laborious. So we have to find a smart way to do hundreds of demonstrations, thousands of human demonstrations, and somehow use artificial intelligence and omnipresence. To produce millions of artificial movements, and from these movements, AI can learn how to perform a task.
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Nvidia's growth has accelerated 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 is delivering to developers Humanoid robots equipped with artificial intelligence With technological elements, including base models, data pipelines, simulation frameworks and a Thor robotic computer.
These technologies allow developers to collect data about training robots without the robot being present by recording the robot's trajectory and creating policies. Developers can then test and validate the software in simulation mode before deploying it on a real robot.
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“Nvidia Isaac Groot, this is our platform to provide technology elements to the robotics industry to accelerate the development of general robotics,” Huang said.