3 papers
cs.RO2026
From Prediction Uncertainty to Conformalized Distance Fields for Safe Motion Planning
Jaeuk Shin, Yoonseok Ra, Insoon Yang
Safe motion planning in dynamic environments requires reasoning about the uncertainty in predicted obstacle motion without sacrificing real-time performance. Existing conformal app…
cs.LG2025
KoopCast: Trajectory Forecasting via Koopman Operators
Jungjin Lee, Jaeuk Shin, Gihwan Kim +2
We present KoopCast, a lightweight yet efficient model for trajectory forecasting in general dynamic environments. Our approach leverages Koopman operator theory, which enables a l…
cs.RO2025
Egocentric Conformal Prediction for Safe and Efficient Navigation in Dynamic Cluttered Environments
Jaeuk Shin, Jungjin Lee, Insoon Yang
Conformal prediction (CP) has emerged as a powerful tool in robotics and control, thanks to its ability to calibrate complex, data-driven models with formal guarantees. However, in…