The Berkeley team led by CITRIS People and Robots Director Ken Goldberg built a neural network to analyze the surgical robot’s mistakes and learned how much precision it was losing with each passing day. Once the automated system could account for this change, the robot could match the performance of human operators.
Photo credit: Sarahbeth Maney for the New York Times
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