| 2026 | WACV | Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences. | Mellon M. Zhang, Glen Chou, Saibal Mukhopadhyay |
| 2024 | ICRA | Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds. | Yating Lin, Glen Chou, Dmitry Berenson |
| 2023 | CoRL | Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. | H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake |
| 2023 | ICRA | Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems. | Craig Knuth, Glen Chou, Jamie Reese, Joseph L. Moore |
| 2023 | ICRA | Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification. | Jiayi Pan, Glen Chou, Dmitry Berenson |
| 2022 | WAFR | Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory. | Glen Chou, Necmiye Ozay, Dmitry Berenson |
| 2021 | WAFR | Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations. | Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson |
| 2020 | CoRL | Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations. | Glen Chou, Dmitry Berenson, Necmiye Ozay |
| 2019 | CoRL | Learning Parametric Constraints in High Dimensions from Demonstrations. | Glen Chou, Necmiye Ozay, Dmitry Berenson |
| 2018 | WAFR | Learning Constraints from Demonstrations. | Glen Chou, Dmitry Berenson, Necmiye Ozay |