Post by UVA Engineering Link Lab

Can robots learn to make educated guesses when faced with the unexpected? That’s the question driving the research of Yen-Ling Kuo, UVA Computer Science assistant professor and Link Lab faculty member, who was recently featured in an IEEE Spectrum profile highlighting her groundbreaking work at the intersection of robotics, #AI, and human cognition. The article explores Dr. Kuo’s efforts to help robots recognize uncertainty, adapt to unfamiliar situations, and collaborate more naturally with people. Her team's innovative Diff-DAgger approach improves robots' ability to predict failures, reduces the need for constant human supervision, and increases task success rates. As Dr. Kuo explains: “There are no computational frameworks yet available that will translate this kind of understanding into a robot efficiently.” Working within UVA Engineering’s multidisciplinary Link Lab, Dr. Kuo is advancing computational models that help robots interpret not only language and actions, but also subtle human cues such as gaze, movement, and intent—bringing us closer to more intuitive and effective human-robot interaction. We're proud to see her pioneering research and impact recognized by IEEE Spectrum and excited to see how her work continues to shape the future of robotics. 📖 Read the full story: https://lnkd.in/e6jThgFF #UVAEngineering #LinkLab #Robotics #ArtificialIntelligence #HumanRobotInteraction #AIResearch #IEEE #FutureOfRobotics #UVAResearch UVA Engineering University of Virginia