Using robots to help diagnose autism

Kids’ interactions with talking robots—which behave in a standardized, bias-free manner—could reveal telltale signs in very young children destined to develop autism.

Professor Maria Gini and Marie Manner, Ph.D. Student at the College of Science and Engineering at the University of Minnesota have collected baseline data on robots’ interactions with 2- to 4-year-olds. They hope to use this data to predict who will develop autism, unlocking the door to countless precious minds.

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