Glen Chou
Orcid: 0000-0003-4444-3631
According to our database1,
Glen Chou
authored at least 24 papers
between 2016 and 2024.
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Bibliography
2024
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds.
CoRR, 2024
2023
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching.
Proceedings of the Conference on Robot Learning, 2023
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Correction to "Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability Via Lipschitz Constants".
IEEE Robotics Autom. Lett., 2022
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning From Demonstrations.
IEEE Robotics Autom. Lett., 2022
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems.
CoRR, 2022
Learning temporal logic formulas from suboptimal demonstrations: theory and experiments.
Auton. Robots, 2022
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory.
Proceedings of the Algorithmic Foundations of Robotics XV, 2022
2021
Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants.
IEEE Robotics Autom. Lett., 2021
Int. J. Robotics Res., 2021
Proceedings of the Algorithmic Foundations of Robotics XIV, 2021
Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty.
IEEE Robotics Autom. Lett., 2020
Planning with Learned Dynamics: Guaranteed Safety and Reachability via Lipschitz Constants.
CoRR, 2020
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations.
Proceedings of the Robotics: Science and Systems XVI, 2020
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations.
Proceedings of the 4th Conference on Robot Learning, 2020
2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
2018
Using Control Synthesis to Generate Corner Cases: A Case Study on Autonomous Driving.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018
2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016