Gilhyun Ryou

I am a Ph.D. student in the Laboratory for Information and Decision Systems (LIDS) at Massachusetts Institute of Technology (MIT), advised by Prof. Sertac Karaman. Previously, I obtained my BS degree from the Department of Electrical and Computer Engineering at Seoul National University (SNU).

My main research interests are in motion planning and the development of effective machine learning algorithm for robotic platforms. My work focuses on modeling the capability of robotic systems and generating the optimal trajectory using the model. To do this, I developed a data-driven optimization algorithm that combines Bayesian optimization and reinforcement learning. I am investigating multi-fidelity optimization methods that use simulation data to help the efficient design of real-world robotics experiments.