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Learning Constraints from Demonstrations
G Chou, D Berenson, N Ozay
Algorithmic Foundations of Robotics XIII (WAFR 2018), 228-245, 2018
482018
Using control synthesis to generate corner cases: A case study on autonomous driving
G Chou, YE Sahin, L Yang, KJ Rutledge, P Nilsson, N Ozay
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
452018
Using neural networks to compute approximate and guaranteed feasible Hamilton-Jacobi-Bellman PDE solutions
F Jiang, G Chou, M Chen, CJ Tomlin
arXiv preprint arXiv:1611.03158, 2016
412016
Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty
G Chou, N Ozay, D Berenson
IEEE Robotics and Automation Letters 5 (2), 3682-3690, 2020
342020
Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants
C Knuth, G Chou, N Ozay, D Berenson
IEEE Robotics and Automation Letters 6 (3), 5129-5136, 2021
322021
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
G Chou, N Ozay, D Berenson
Robotics: Science and Systems XVI (RSS 2020), 2020
322020
A hybrid framework for multi-vehicle collision avoidance
A Dhinakaran, M Chen, G Chou, JC Shih, CJ Tomlin
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2979-2984, 2017
302017
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems
G Chou, N Ozay, D Berenson
2021 IEEE 60th Annual Conference on Decision and Control (CDC), 3576-3583, 2021
252021
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory
G Chou, N Ozay, D Berenson
Algorithmic Foundations of Robotics XV (WAFR 2022), 349-367, 2022
202022
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations
G Chou, N Ozay, D Berenson
4th Conference on Robot Learning (CoRL 2020), 1612-1639, 2020
182020
Learning Parametric Constraints in High Dimensions from Demonstrations
G Chou, N Ozay, D Berenson
3rd Conference on Robot Learning (CoRL 2019), 1211-1230, 2019
172019
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
J Pan, G Chou, D Berenson
2023 IEEE International Conference on Robotics and Automation (ICRA), 11554 …, 2023
142023
Learning temporal logic formulas from suboptimal demonstrations: theory and experiments
G Chou, N Ozay, D Berenson
Autonomous Robots 46 (1), 149-174, 2022
122022
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning From Demonstrations
G Chou, H Wang, D Berenson
IEEE Robotics and Automation Letters 7 (2), 3827-3834, 2022
112022
Learning constraints from demonstrations with grid and parametric representations
G Chou, D Berenson, N Ozay
The International Journal of Robotics Research 40 (10-11), 1255-1283, 2021
102021
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
HJ Suh, G Chou, H Dai, L Yang, A Gupta, R Tedrake
7th Conference on Robot Learning (CoRL 2023), 2023
52023
Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations
C Knuth, G Chou, N Ozay, D Berenson
Algorithmic Foundations of Robotics XIV (WAFR 2020), 18-36, 2020
52020
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems
C Knuth, G Chou, J Reese, J Moore
2023 IEEE International Conference on Robotics and Automation (ICRA), 12700 …, 2023
32023
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization
G Chou, R Tedrake
2023 IEEE 62nd Annual Conference on Decision and Control (CDC), 2023
32023
Compositional Safety Rules for Inter-Triggering Hybrid Automata
K Rutledge, G Chou, N Ozay
Hybrid Systems: Computation and Control (HSCC 2021), 4:1-4:11, 2021
22021
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