
Award-Winning Researcher Yen-Ling Kuo Trains Robots to Make 'Educated Guesses'
Yen-Ling Kuo, a Taiwan-born assistant professor at the University of Virginia, has received the inaugural IEEE Robotics and Automation Society WiRA Paper Award. Her research paper 'Diff-DAgger' introduces a novel method enabling robots to self-assess uncertainty in untrained scenarios, boosting failure prediction by 39% and task completion by 20%. She has also received a five-year, $665,000 NSF CAREER Award.
Source: IEEE Spectrum










