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2020 – today
- 2024
[c14]Yating Lin, Glen Chou, Dmitry Berenson:
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds. ICRA 2024: 16970-16976- [i17]Yating Lin, Glen Chou, Dmitry Berenson:
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds. CoRR abs/2403.12245 (2024) - 2023
- [c13]Glen Chou, Russ Tedrake:
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization. CDC 2023: 624-631 - [c12]H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake:
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. CoRL 2023: 2878-2904 - [c11]Jiayi Pan, Glen Chou, Dmitry Berenson:
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification. ICRA 2023: 11554-11561 - [c10]Craig Knuth, Glen Chou, Jamie Reese, Joseph L. Moore
:
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems. ICRA 2023: 12700-12706 - [i16]Jiayi Pan, Glen Chou, Dmitry Berenson:
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification. CoRR abs/2303.08006 (2023) - [i15]Glen Chou, Russ Tedrake:
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization. CoRR abs/2304.12405 (2023) - [i14]H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake:
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. CoRR abs/2306.14079 (2023) - 2022
- [j7]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Learning temporal logic formulas from suboptimal demonstrations: theory and experiments. Auton. Robots 46(1): 149-174 (2022) - [j6]Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson:
Correction to "Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability Via Lipschitz Constants". IEEE Robotics Autom. Lett. 7(1): 381 (2022) - [j5]Glen Chou, Hao Wang, Dmitry Berenson:
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning From Demonstrations. IEEE Robotics Autom. Lett. 7(2): 3827-3834 (2022) - [c9]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory. WAFR 2022: 349-367 - [i13]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory. CoRR abs/2206.06553 (2022) - [i12]Craig Knuth, Glen Chou, Jamie Reese, Joseph L. Moore:
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems. CoRR abs/2212.06874 (2022) - 2021
- [j4]Glen Chou, Dmitry Berenson, Necmiye Ozay:
Learning constraints from demonstrations with grid and parametric representations. Int. J. Robotics Res. 40(10-11) (2021) - [j3]Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson:
Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants. IEEE Robotics Autom. Lett. 6(3): 5129-5136 (2021) - [c8]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems. CDC 2021: 3576-3583 - [c7]Kwesi J. Rutledge, Glen Chou, Necmiye Ozay:
Compositional safety rules for inter-triggering hybrid automata. HSCC 2021: 4:1-4:11 - [c6]Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson:
Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations. WAFR 2021: 18-36 - [i11]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems. CoRR abs/2104.08695 (2021) - [i10]Glen Chou, Hao Wang, Dmitry Berenson:
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations. CoRR abs/2112.04612 (2021) - 2020
- [j2]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty. IEEE Robotics Autom. Lett. 5(2): 3682-3690 (2020) - [c5]Glen Chou, Dmitry Berenson, Necmiye Ozay:
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations. CoRL 2020: 1612-1639 - [c4]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations. Robotics: Science and Systems 2020 - [i9]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty. CoRR abs/2001.09336 (2020) - [i8]Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson:
Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations. CoRR abs/2005.05421 (2020) - [i7]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations. CoRR abs/2006.02411 (2020) - [i6]Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson:
Planning with Learned Dynamics: Guaranteed Safety and Reachability via Lipschitz Constants. CoRR abs/2010.08993 (2020) - [i5]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations. CoRR abs/2011.04141 (2020)
2010 – 2019
- 2019
- [c3]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Learning Parametric Constraints in High Dimensions from Demonstrations. CoRL 2019: 1211-1230 - [i4]Glen Chou, Necmiye Ozay, Dmitry Berenson:
Learning Parametric Constraints in High Dimensions from Demonstrations. CoRR abs/1910.03477 (2019) - 2018
- [j1]Glen Chou, Yunus Emre Sahin, Liren Yang, Kwesi J. Rutledge, Petter Nilsson, Necmiye Ozay:
Using Control Synthesis to Generate Corner Cases: A Case Study on Autonomous Driving. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2906-2917 (2018) - [c2]Glen Chou, Dmitry Berenson, Necmiye Ozay:
Learning Constraints from Demonstrations. WAFR 2018: 228-245 - [i3]Glen Chou, Yunus Emre Sahin, Liren Yang, Kwesi J. Rutledge, Petter Nilsson, Necmiye Ozay:
Using control synthesis to generate corner cases: A case study on autonomous driving. CoRR abs/1807.09537 (2018) - [i2]Glen Chou, Dmitry Berenson, Necmiye Ozay:
Learning Constraints from Demonstrations. CoRR abs/1812.07084 (2018) - 2017
- [c1]Aparna Dhinakaran, Mo Chen, Glen Chou, Jennifer C. Shih, Claire J. Tomlin:
A hybrid framework for multi-vehicle collision avoidance. CDC 2017: 2979-2984 - 2016
- [i1]Frank Jiang, Glen Chou, Mo Chen, Claire J. Tomlin:
Using Neural Networks for Fast Reachable Set Computations. CoRR abs/1611.03158 (2016)
Coauthor Index
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last updated on 2024-10-21 21:31 CEST by the dblp team
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