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Robots can now train themselves with new "practice makes perfect" algorithm
The new "Estimate, Extrapolate, and Situate" (EES) algorithm, developed by the MIT Computer Science and Artificial Intelligence Lab (CSAIL) and The AI Institute, was recently presented at...
The researchers tested EES on Boston Dynamics' Spot quadruped robot, which already has a strong track record with tasks like these, especially with an arm attachment on its back. While these tasks were relatively basic, the researchers note that this technology could eventually produce robots that learn how to improve their performance in various settings, such as factories, coffee shops, households, or hospitals. "Enabling robots to learn on their own is both incredibly useful and extremely challenging," Danfei Xu, a Georgia Tech professor and research scientist at Nvidia AI, told MIT News.
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