Nvidia CEO Jensen Huang spoke Monday at the annual Consumer Electronics Show conference in Las Vegas, saying the artificial intelligence (AI) revolution is bringing breakthroughs in robotics. said.
“The ChatGPT moment in general robotics is just around the corner,” said Huang, with the release of conversational AI chatbots in late 2022 driving widespread interest in OpenAI’s ChatGPT-generated AI technology. I mentioned the impact of
“In fact, with all the enabling technologies I’ve been talking about, we’re going to see very rapid advances, incredible advances in robotics in general over the next few years.”
Huang said AI tools will drive the growth of general robotics technology in areas such as information technology, self-driving cars and humanoid robots, and facilitate the automation of work performed in manufacturing facilities and warehouses.
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“The reason general robotics is so important is that robots with tracks and wheels require a special environment to accommodate them, whereas they can be created without the need for a greenfield. There are three robots in the world, and they are perfect for brownfields,” Huang said. He explained. “If we can build these amazing robots, we will be able to deploy them into the very world we have built.”
“These three robots are one of agent robots and agent AI, because these are information workers. If they can be adapted to office computers, that’s great. The second one is self-driving cars. And the “The reason is that we’ve spent over 100 years building roads and cities, and the third one is humanoid robots,” Huang said.
Nvidia’s CEO added that advances in robotics that enable these three applications would lead to “the greatest technology in the history of the world,” and the company believes that “the era of robotics is just around the corner.” “There is,” he added.
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“The key capability is how you train these robots. For humanoid robots, it’s very difficult to collect imitation information. The reason is that for a car, you don’t have to drive it. We just do it ’cause we’re driving the car ‘all the time,”’ Huang said.
“For these humanoid robots, it’s quite a pain to imitate information and do human demonstrations. So we’ve taken hundreds of demonstrations, thousands of human demonstrations, and we’ve put artificial intelligence and We need to come up with clever ways to use the Omniverse in some way. “From millions of synthetically generated motions, the AI can learn how to perform tasks,” he explained.
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Huang’s presentation then showed how Nvidia’s Isaac Groot initiative provides technology elements such as foundational models, data pipelines, simulation frameworks, and the Thor robot computer to developers of AI-enabled humanoid robots. I did.
This technology allows developers to have skilled human workers capture data to train robots by capturing motion trajectories and creating robot policies, even when the robot is not present. can. Developers can test and validate their software in simulation mode before deploying it to 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.