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Jason J. Choi
Jason J. Choi
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
Reinforcement learning for safety-critical control under model uncertainty, using control lyapunov functions and control barrier functions
J Choi, F Castaneda, CJ Tomlin, K Sreenath
arXiv preprint arXiv:2004.07584, 2020
2302020
Robust control barrier–value functions for safety-critical control
JJ Choi, D Lee, K Sreenath, CJ Tomlin, SL Herbert
2021 60th IEEE Conference on Decision and Control (CDC), 6814-6821, 2021
1462021
Data-driven safety filters: Hamilton-jacobi reachability, control barrier functions, and predictive methods for uncertain systems
KP Wabersich, AJ Taylor, JJ Choi, K Sreenath, CJ Tomlin, AD Ames, ...
IEEE Control Systems Magazine 43 (5), 137-177, 2023
842023
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics
F Castaņeda, JJ Choi, B Zhang, CJ Tomlin, K Sreenath
arXiv preprint arXiv:2011.07183, 2020
602020
Pointwise feasibility of gaussian process-based safety-critical control under model uncertainty
F Castaneda, JJ Choi, B Zhang, CJ Tomlin, K Sreenath
2021 60th IEEE Conference on Decision and Control (CDC), 6762-6769, 2021
542021
Scalable learning of safety guarantees for autonomous systems using Hamilton-Jacobi reachability
S Herbert, JJ Choi, S Sanjeev, M Gibson, K Sreenath, CJ Tomlin
2021 IEEE International Conference on Robotics and Automation (ICRA), 5914-5920, 2021
432021
Designing shelly, a robot capable of assessing and restraining children's robot abusing behaviors
H Ku, JJ Choi, S Lee, S Jang, W Do
Companion of the 2018 ACM/IEEE international conference on human-robot …, 2018
282018
Recursively feasible probabilistic safe online learning with control barrier functions
F Castaneda, JJ Choi, W Jung, B Zhang, CJ Tomlin, K Sreenath
arXiv preprint arXiv:2208.10733, 2022
232022
Lyapunov density models: Constraining distribution shift in learning-based control
K Kang, P Gradu, JJ Choi, M Janner, C Tomlin, S Levine
International Conference on Machine Learning, 10708-10733, 2022
222022
Computation of regions of attraction for hybrid limit cycles using reachability: An application to walking robots
JJ Choi, A Agrawal, K Sreenath, CJ Tomlin, S Bansal
IEEE Robotics and Automation Letters 7 (2), 4504-4511, 2022
112022
Shelly, a tortoise-like robot for one-to-many interaction with children
H Ku, JJ Choi, S Lee, S Jang, W Do
Companion of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018
102018
Safety filters for black-box dynamical systems by learning discriminating hyperplanes
W Lavanakul, J Choi, K Sreenath, C Tomlin
6th Annual Learning for Dynamics & Control Conference, 1278-1291, 2024
62024
Towards Flight Envelope Protection for the NASA Tiltwing eVTOL Flight Mode Transition Using Hamilton-Jacobi Reachability
TW Hsu, JJ Choi, D Amin, C Tomlin, SC McWherter, M Piedmonte
Journal of the American Helicopter Society 69 (2), 1-18, 2024
52024
A forward reachability perspective on robust control invariance and discount factors in reachability analysis
JJ Choi, D Lee, B Li, JP How, K Sreenath, SL Herbert, CJ Tomlin
arXiv preprint arXiv:2310.17180, 2023
52023
Constraint-guided online data selection for scalable data-driven safety filters in uncertain robotic systems
JJ Choi, F Castaneda, W Jung, B Zhang, CJ Tomlin, K Sreenath
arXiv preprint arXiv:2311.13824, 2023
42023
Online social touch pattern recognition with multi-modal-sensing modular tactile interface
HJ Ku, JJ Choi, S Jang, W Do, S Lee, S Seok
2019 16th International Conference on Ubiquitous Robots (UR), 271-277, 2019
22019
Gait Switching and Enhanced Stabilization of Walking Robots with Deep Learning-based Reachability: A Case Study on Two-link Walker
X Xia, JJ Choi, A Agrawal, K Sreenath, CJ Tomlin, S Bansal
arXiv preprint arXiv:2409.16301, 2024
2024
Robust Hybrid Systems Differential Dynamic Programming for Worst-Case Disturbance
P Mohnot, A Thirugnanam, JJ Choi, K Sreenath
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Articles 1–18