Youngkyu Kim

I am an MS/PhD student at Robotics and Computer Vision Lab (RCV Lab), Sejong University, studying scalable robot learning by integrating simulation, real-world data, and synthetic observations into unified training distributions. My research focuses on data-centric robot learning by combining simulation, real-world demonstrations, and generated observations. I treat simulation as a source of structured supervision, and leverage synthetic data to expand observation diversity. The goal is robust manipulation under diverse conditions without relying solely on large-scale real-world data collection.