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Is robotics about to have its own ChatGPT moment?
Researchers are using generative AI and other techniques to teach robots new skills—including tasks they could perform in homes.
In a similar demonstration, earlier this year a team at Stanford managed to use a relatively cheap off-the-shelf robot costing $32,000 to do complex manipulation tasks such as cooking shrimp and cleaning stains. Called Mobile ALOHA(a loose acronym for “a low-cost open-source hardware teleoperation system”), the robot learned to cook shrimp with the help of just 20 human demonstrations and data from other tasks, such as tearing off a paper towel or piece of tape. For a long time, a lot of the robotics community was very skeptical of these kinds of approaches, says Chelsea Finn, an assistant professor of computer science and electrical engineering at Stanford University and an advisor for the Mobile ALOHA project.
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