1. Paper 'Legged Robot State Estimation Using Invariant Neural-Augmented Kalman Filter with a Neural Compensator' accepted to IROS 2025.
2. Selected as the graduate representative and delivered the Commencement Speech at UNIST in 2023, receiving the Minister of Science and ICT Award for outstanding graduate achievement.
3. Honored to be selected as a Presidential Science Scholarship in 2022, recognizing outstanding early-career scientists.
Research Experience
Focuses on the control and state estimation of legged robots, particularly in the development of agile and dynamic motions for quadruped robots and humanoids. Research also includes using reinforcement learning to enhance the adaptability and versatility of robots.
Education
PhD Student, KAIST, MSC Lab, advised by Prof. Kyung-Soo Kim
Background
Currently a PhD student at KAIST, advised by Prof. Kyung-Soo Kim. My research focuses on control and state estimation for legged robots, particularly on developing agile and dynamic motions for quadruped robots and humanoids. I’m also interested in reinforcement learning frameworks to enable robots to reason about their body dynamics and interactions with complex environments, ultimately achieving more adaptive and versatile behaviors.