Glen Chou - RankMe

52 papers A* 3C 3Misc 3Journal 38Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Certified Gradient-Based Contact-Rich Manipulation via Smoothing-Error Reachable Tubes. CoRR Wei-Chen Li, Glen Chou
2026	J	`jnl`	Learning Constraints From Stochastic Partially- Observed Closed-Loop Demonstrations. IEEE Control. Syst. Lett. Chih-Yuan Chiu, Zhouyu Zhang, Glen Chou
2026	J	`jnl`	Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis. CoRR Anutam Srinivasan, Antoine Leeman, Glen Chou
2026	J	`jnl`	Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees. CoRR Devesh Nath, Haoran Yin, Glen Chou
2025	J	`jnl`	A Convex Formulation of Compliant Contact between Filaments and Rigid Bodies. CoRR Wei-Chen Li, Glen Chou
2025	J	`jnl`	Active Constraint Learning in High Dimensions from Demonstrations. CoRR Zheng Qiu, Chih-Yuan Chiu, Glen Chou
2025	J	`jnl`	Constraint Learning in Multi-Agent Dynamic Games from Demonstrations of Local Nash Interactions. CoRR Zhouyu Zhang, Chih-Yuan Chiu, Glen Chou
2025	J	`jnl`	Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization. CoRR Devesh Nath, Haoran Yin, Glen Chou
2025	J	`jnl`	Learning Constraints from Stochastic Partially-Observed Closed-Loop Demonstrations. CoRR Chih-Yuan Chiu, Zhouyu Zhang, Glen Chou
2025	J	`jnl`	MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization. CoRR Chengyue Huang, Mellon M. Zhang, Robert Azarcon, Glen Chou, Zsolt Kira
2025	J	`jnl`	NavMoE: Hybrid Model- and Learning-based Traversability Estimation for Local Navigation via Mixture of Experts. CoRR Botao He, Amir-Hossein Shahidzadeh, Yu Chen, Jiayi Wu, Tianrui Guan, Guofei Chen, Howie Choset, Dinesh Manocha, Glen Chou, Cornelia Fermüller, Yiannis Aloimonos
2025	J	`jnl`	Polar Hierarchical Mamba: Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences. CoRR Mellon M. Zhang, Glen Chou, Saibal Mukhopadhyay
2025	J	`jnl`	Probabilistically-Safe Bipedal Navigation over Uncertain Terrain via Conformal Prediction and Contraction Analysis. CoRR Kasidit Muenprasitivej, Ye Zhao, Glen Chou
2025	J	`jnl`	Robustly Constrained Dynamic Games for Uncertain Nonlinear Dynamics. CoRR Shuyu Zhan, Chih-Yuan Chiu, Antoine P. Leeman, Glen Chou
2024	A*	`conf`	Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds. ICRA Yating Lin, Glen Chou, Dmitry Berenson
2024	J	`jnl`	Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds. CoRR Yating Lin, Glen Chou, Dmitry Berenson
2023	A*	`conf`	Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification. ICRA Jiayi Pan, Glen Chou, Dmitry Berenson
2023	J	`jnl`	Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification. CoRR Jiayi Pan, Glen Chou, Dmitry Berenson
2023	Misc	`conf`	Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. CoRL H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake
2023	J	`jnl`	Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. CoRR H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake
2023	A*	`conf`	Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems. ICRA Craig Knuth, Glen Chou, Jamie Reese, Joseph L. Moore
2023	—	`conf`	Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization. CDC Glen Chou, Russ Tedrake
2023	J	`jnl`	Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization. CoRR Glen Chou, Russ Tedrake
2022	J	`jnl`	Correction to "Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability Via Lipschitz Constants". IEEE Robotics Autom. Lett. Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson
2022	J	`jnl`	Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning From Demonstrations. IEEE Robotics Autom. Lett. Glen Chou, Hao Wang, Dmitry Berenson
2022	J	`jnl`	Learning temporal logic formulas from suboptimal demonstrations: theory and experiments. Auton. Robots Glen Chou, Necmiye Ozay, Dmitry Berenson
2022	C	`conf`	Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory. WAFR Glen Chou, Necmiye Ozay, Dmitry Berenson
2022	J	`jnl`	Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory. CoRR Glen Chou, Necmiye Ozay, Dmitry Berenson
2022	J	`jnl`	Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems. CoRR Craig Knuth, Glen Chou, Jamie Reese, Joseph L. Moore
2021	—	`conf`	Compositional safety rules for inter-triggering hybrid automata. HSCC Kwesi J. Rutledge, Glen Chou, Necmiye Ozay
2021	J	`jnl`	Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations. CoRR Glen Chou, Hao Wang, Dmitry Berenson
2021	C	`conf`	Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations. WAFR Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson
2021	J	`jnl`	Learning constraints from demonstrations with grid and parametric representations. Int. J. Robotics Res. Glen Chou, Dmitry Berenson, Necmiye Ozay
2021	—	`conf`	Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems. CDC Glen Chou, Necmiye Ozay, Dmitry Berenson
2021	J	`jnl`	Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems. CoRR Glen Chou, Necmiye Ozay, Dmitry Berenson
2021	J	`jnl`	Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants. IEEE Robotics Autom. Lett. Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson
2020	—	`conf`	Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations. Robotics: Science and Systems Glen Chou, Necmiye Ozay, Dmitry Berenson
2020	J	`jnl`	Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations. CoRR Glen Chou, Necmiye Ozay, Dmitry Berenson
2020	J	`jnl`	Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations. CoRR Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson
2020	J	`jnl`	Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty. IEEE Robotics Autom. Lett. Glen Chou, Necmiye Ozay, Dmitry Berenson
2020	J	`jnl`	Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty. CoRR Glen Chou, Necmiye Ozay, Dmitry Berenson
2020	J	`jnl`	Planning with Learned Dynamics: Guaranteed Safety and Reachability via Lipschitz Constants. CoRR Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson
2020	Misc	`conf`	Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations. CoRL Glen Chou, Dmitry Berenson, Necmiye Ozay
2020	J	`jnl`	Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations. CoRR Glen Chou, Necmiye Ozay, Dmitry Berenson
2019	Misc	`conf`	Learning Parametric Constraints in High Dimensions from Demonstrations. CoRL Glen Chou, Necmiye Ozay, Dmitry Berenson
2019	J	`jnl`	Learning Parametric Constraints in High Dimensions from Demonstrations. CoRR Glen Chou, Necmiye Ozay, Dmitry Berenson
2018	C	`conf`	Learning Constraints from Demonstrations. WAFR Glen Chou, Dmitry Berenson, Necmiye Ozay
2018	J	`jnl`	Learning Constraints from Demonstrations. CoRR Glen Chou, Dmitry Berenson, Necmiye Ozay
2018	J	`jnl`	Using Control Synthesis to Generate Corner Cases: A Case Study on Autonomous Driving. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Glen Chou, Yunus Emre Sahin, Liren Yang, Kwesi J. Rutledge, Petter Nilsson, Necmiye Ozay
2018	J	`jnl`	Using control synthesis to generate corner cases: A case study on autonomous driving. CoRR Glen Chou, Yunus Emre Sahin, Liren Yang, Kwesi J. Rutledge, Petter Nilsson, Necmiye Ozay
2017	—	`conf`	A hybrid framework for multi-vehicle collision avoidance. CDC Aparna Dhinakaran, Mo Chen, Glen Chou, Jennifer C. Shih, Claire J. Tomlin
2016	J	`jnl`	Using Neural Networks for Fast Reachable Set Computations. CoRR Frank Jiang, Glen Chou, Mo Chen, Claire J. Tomlin