Glen Chou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 38

Top Topics

Autonomous Driving

Motion Planning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Yating Lin, Glen Chou, Dmitry Berenson
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds. CoRR (2024)
Yating Lin, Glen Chou, Dmitry Berenson
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds. ICRA (2024)
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)
Jiayi Pan, Glen Chou, Dmitry Berenson
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification. CoRR (2023)
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)
Glen Chou, Russ Tedrake
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization. CoRR (2023)
Glen Chou, Russ Tedrake
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization. CDC (2023)
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 (2023)
Jiayi Pan, Glen Chou, Dmitry Berenson
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification. ICRA (2023)
Craig Knuth, Glen Chou, Jamie Reese, Joe Moore
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems. CoRR (2022)
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) (2022)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory. CoRR (2022)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Learning temporal logic formulas from suboptimal demonstrations: theory and experiments. Auton. Robots 46 (1) (2022)
Glen Chou, Hao Wang, Dmitry Berenson
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning From Demonstrations. IEEE Robotics Autom. Lett. 7 (2) (2022)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory. WAFR (2022)
Glen Chou, Dmitry Berenson, Necmiye Ozay
Learning constraints from demonstrations with grid and parametric representations. Int. J. Robotics Res. 40 (10-11) (2021)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems. CoRR (2021)
Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson
Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations. WAFR (2021)
Kwesi J. Rutledge, Glen Chou, Necmiye Ozay
Compositional safety rules for inter-triggering hybrid automata. HSCC (2021)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems. CDC (2021)
Glen Chou, Hao Wang, Dmitry Berenson
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations. CoRR (2021)
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) (2021)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations. Robotics: Science and Systems (2020)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations. CoRR (2020)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty. CoRR (2020)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations. CoRR (2020)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty. IEEE Robotics Autom. Lett. 5 (2) (2020)
Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson
Planning with Learned Dynamics: Guaranteed Safety and Reachability via Lipschitz Constants. CoRR (2020)
Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson
Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations. CoRR (2020)
Glen Chou, Dmitry Berenson, Necmiye Ozay
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations. CoRL (2020)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Learning Parametric Constraints in High Dimensions from Demonstrations. CoRL (2019)
Glen Chou, Necmiye Ozay, Dmitry Berenson
Learning Parametric Constraints in High Dimensions from Demonstrations. CoRR (2019)
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) (2018)
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 (2018)
Glen Chou, Dmitry Berenson, Necmiye Ozay
Learning Constraints from Demonstrations. CoRR (2018)
Glen Chou, Dmitry Berenson, Necmiye Ozay
Learning Constraints from Demonstrations. WAFR (2018)
Aparna Dhinakaran, Mo Chen, Glen Chou, Jennifer C. Shih, Claire J. Tomlin
A hybrid framework for multi-vehicle collision avoidance. CDC (2017)
Frank Jiang, Glen Chou, Mo Chen, Claire J. Tomlin
Using Neural Networks for Fast Reachable Set Computations. CoRR (2016)