Probabilistic Safe Online Learning with Control Barrier Functions. - Fernando Castañeda; Jason J. Choi; Wonsuhk Jung; Bike Zhang; Claire J. Tomlin; Koushil Sreenath (CoRR, 2022)

Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning. - Mineui Hong; Kyungjae Lee 001; Minjae Kang 002; Wonsuhk Jung; Songhwai Oh (IEEE Robotics Autom. Lett., 2022)

Goal-Reaching Trajectory Design Near Danger with Piecewise Affine Reach-avoid Computation. - Long Kiu Chung; Wonsuhk Jung; Chuizheng Kong; Shreyas Kousik (Robotics: Science and Systems, 2024)

Guaranteed Reach-Avoid for Black-Box Systems through Narrow Gaps via Neural Network Reachability. - Long Kiu Chung; Wonsuhk Jung; Srivatsank Pullabhotla; Parth Shinde; Yadu Sunil; Saihari Kota; Luis F. W. Batista; Cédric Pradalier; Shreyas Kousik (CoRR, 2024)

RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution. - Wonsuhk Jung; Dennis Anthony; Utkarsh A. Mishra; Nadun Ranawaka Arachchige; Matthew Bronars; Danfei Xu; Shreyas Kousik (CoRR, 2024)

Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems. - Jason J. Choi; Fernando Castañeda; Wonsuhk Jung; Bike Zhang; Claire J. Tomlin; Koushil Sreenath (IEEE Trans. Robotics, 2025)

SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies. - Nadun Ranawaka Arachchige; Zhenyang Chen; Wonsuhk Jung; Woo-Chul Shin; Rohan Bansal; Pierre Barroso; Yu Hang He; Yingyang Celine Lin; Benjamin Joffe; Shreyas Kousik; Danfei Xu (CoRR, 2025)