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Frontiers Teaching a Robot Bimanual Hand-Clapping Games via.

Baxter uses these sensors and this classifier to quickly identify the motions of its human gameplay partner, so that it can join in hand-clapping games.

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This system was evaluated by N = 24 naïve users in an experiment that involved learning sequences of eight motions from Baxter, teaching Baxter eight-motion game patterns, and completing a free interaction period.

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The motion classification accuracy in this less structured setting was 85.9%, primarily due to unexpected variations in motion timing.

Assessing proprioception A critical review of

Over the course of the experiment, people felt more understood by Baxter and became more willing to follow the example of the robot.

Pennsylvania bimanual work sample:

Rating: 88 / 100

Overall: 87 Rates