Unlocking Mechanical Minds: using robots to help diagnose autism | University of Minnesota Twin Cities
A young boy smiles at a humanoid robot in front of him, as Marie Manner, a PhD student at the University of Minnesota, observes.

Unlocking Mechanical Minds: 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. University of Minnesota researchers 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.

Meet the Researchers

Maria Gini
Professor, College of Science and Engineering
Marie Manner
Ph.D. Student, College of Science and Engineering
Amy Esler
Assistant Professor, Department of Pediatrics
Suma Jacob
Associate Professor, Psychiatry and Pediatrics
https://twin-cities.umn.edu/node/276826
University of Minnesota, Twin Cities
09/27/2019