The idea of a robot that does a wide range of household chores, from unloading the dryer to folding laundry to cleaning up a messy table, has long seemed like pure science fiction—perhaps most famously embodied by the 1960s fantasy that was Rosey in The Jetsons .
Physical Intelligence , a startup in San Francisco, has shown that such a dream might actually not be so far off, demonstrating a single artificial intelligence model that has learned to do a wide range of useful home chores—including all of the above—by being trained on an unprecedented amount of data. To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video VIDEO URL
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Auto Bottom Top Bussing A Table Use up and down arrows to change volume, and spacebar or enter to toggle mute. The feat raises the prospect of bringing something as magical and generally capable as other AI models like ChatGPT into the physical world.The advent of large language models (LLMs) —general-purpose learning algorithms fed vast swaths of text from books and the internet—has given chatbots vastly more general capabilities. Physical Intelligence aims to create something similarly capable in the physical world by training a similar kind of algorithm with enormous amounts of robotic data instead.“We have a recipe that is very general, that can take advantage of data from many different embodiments, from many different robot types, and which is similar to how people train language models,” says the company’s CEO Karol Hausman .The company has spent the past eight months developing its “foundation model,” called π0 or pi-zero . π0 was trained using huge amounts of data from several types of robots doing various domestic chores. The company often has humans teleoperate the robots to provide the necessary teaching.Physical Intelligence, also known as PI or π, was founded earlier this year by several prominent robotics researchers to pursue the new robotics approach inspired […]
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