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参加 November 2020
74 フォロー中    1.4M ファン
Less data, better robots, according to new Axis Robotics research Robotics data startup @axisrobotics, which counts Pi Network Ventures from @PiCoreTeam among its seed investors, has published TUCO, a method for choosing which simulated demos to train a robot on. Working with researchers from Stanford, Berkeley, Carnegie Mellon, and others, the team says a real robot arm trained on 10 real demos plus 600 carefully chosen simulated ones succeeded 86% of the time. The same robot reached only about 26% when the 10 real demos were paired with a random 600, or with all 1,200 simulated demos at once. Tests covered three tasks, including stacking a cube, with 40 tries each.
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