Light Mode
U-AMC
In pursuit of advancing Legged Robots out in the field
URobotics Spatial AI & Robot System Team
About Me

Hi, my name is Jason Kim, and I work on state estimation for legged robots in URobotics.
I am currently under the supervision of Prof. Yonggun Cho at Inha University.
My focus is building estimators that are geometrically consistent and robust in the real world.
By combining sensor-fusion framework based on invariant EKF formulations and GP-style motion priors—with learning-based modules that handle non-linear IMU behavior and disturbances.
I validate the system on realistic SLAM datasets and push it to run in real time on embedded hardware.
My final goal is field-ready state estimation that lets legged robots navigate and collaborate reliably in complex environments,
which will lead us to the era of legged-robot-society.