21 citations · 38 across the 7 of their papers we have counts for
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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.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…
cs.RO2021★ 21 cited
Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments
Jaeuk Shin, Astghik Hakobyan, Mingyu Park +3
The successful operation of mobile robots requires them to adapt rapidly to environmental changes. To develop an adaptive decision-making tool for mobile robots, we propose a novel…