Learning Constraints from Demonstrations G Chou, D Berenson, N Ozay Algorithmic Foundations of Robotics XIII (WAFR 2018), 228-245, 2018 | 56 | 2018 |
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 | 50 | 2018 |
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 | 45 | 2016 |
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 | 39 | 2020 |
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 | 37 | 2021 |
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 | 33 | 2020 |
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 | 30 | 2017 |
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 | 27 | 2021 |
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 | 25 | 2022 |
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 | 24 | 2023 |
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 | 23 | 2020 |
Learning Parametric Constraints in High Dimensions from Demonstrations G Chou, N Ozay, D Berenson 3rd Conference on Robot Learning (CoRL 2019), 1211-1230, 2019 | 21 | 2019 |
Learning temporal logic formulas from suboptimal demonstrations: theory and experiments G Chou, N Ozay, D Berenson Autonomous Robots 46 (1), 149-174, 2022 | 15 | 2022 |
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 | 14 | 2022 |
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 | 10 | 2021 |
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 | 6 | 2023 |
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 | 6 | 2020 |
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 | 5 | 2023 |
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 | 3 | 2023 |
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 | 2 | 2021 |