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Award-Winning Researcher Trains Robots to Make Educated Guesses

University of Virginia researcher Yen-Ling Kuo received IEEE's inaugural Outstanding Women in Robotics award for developing methods that help robots better estimate uncertainty in unfamiliar situations. Her Diff-DAgger approach improved robot failure prediction by 39% and task completion by 20%, potentially reducing the need for constant human supervision.

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