Wonsuhk Jung

According to our database, Wonsuhk Jung authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 2025

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

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

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

Goal-Reaching Trajectory Design Near Danger with Piecewise Affine Reach-avoid Computation.

Long Kiu Chung, Wonsuhk Jung, Chuizheng Kong, Shreyas Kousik

Proceedings of the Robotics: Science and Systems XX, 2024

2022

Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning.

Mineui Hong, Kyungjae Lee, Minjae Kang, Wonsuhk Jung, Songhwai Oh

IEEE Robotics Autom. Lett., 2022

Probabilistic Safe Online Learning with Control Barrier Functions.

Fernando Castañeda, Jason J. Choi, Wonsuhk Jung, Bike Zhang, Claire J. Tomlin, Koushil Sreenath

CoRR, 2022