Glen Chou

According to our database, Glen Chou authored at least 42 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Constraint Learning in Multi-Agent Dynamic Games From Demonstrations of Local Nash Interactions.

Zhouyu Zhang, Chih-Yuan Chiu, Glen Chou

IEEE Robotics Autom. Lett., June, 2026

Over-Approximating Minimizer Sets of Constrained Convex Programs with Parametric Uncertainty via Reachability Analysis.

Brendan T. Gould, Chih-Yuan Chiu, Antoine P. Leeman, Kyriakos G. Vamvoudakis, Samuel Coogan, Glen Chou

CoRR, April, 2026

VISION-SLS: Safe Perception-Based Control from Learned Visual Representations via System Level Synthesis.

Antoine P. Leeman, Shuyu Zhan, Melanie N. Zeilinger, Glen Chou

CoRR, April, 2026

Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control.

Julian Skifstad, Xinyue Annie Yang, Glen Chou

CoRR, April, 2026

Digital Guardians: The Past and The Future of Cyber-Physical Resilience.

Saurabh Bagchi, Hyunseung Kim, Tarek F. Abdelzaher, Homa Alemzadeh, Somali Chaterji, Glen Chou, Yuying Duan, Fanxin Kong, Michael Lemmon, Yin Li, Mengyu Liu, Wenhao Luo, Meiyi Ma, Sibin Mohan, Ayan Mukhopadhyay, Melkior Ornik, Dimitra Panagou, Kristin Yvonne Rozier, Ivan Ruchkin, Huajie Shao, Sze Zheng Yong, Majid Zamani, Xugui Zhou

CoRR, April, 2026

Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU.

Jeffrey Fang, Glen Chou

CoRR, April, 2026

Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis.

Anutam Srinivasan, Antoine Leeman, Glen Chou

CoRR, February, 2026

Certified Gradient-Based Contact-Rich Manipulation via Smoothing-Error Reachable Tubes.

Wei-Chen Li, Glen Chou

CoRR, February, 2026

Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees.

Devesh Nath, Haoran Yin, Glen Chou

CoRR, January, 2026

Learning Constraints From Stochastic Partially- Observed Closed-Loop Demonstrations.

Chih-Yuan Chiu, Zhouyu Zhang, Glen Chou

IEEE Control. Syst. Lett., 2026

Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences.

Mellon M. Zhang, Glen Chou, Saibal Mukhopadhyay

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Active Constraint Learning in High Dimensions from Demonstrations.

Zheng Qiu, Chih-Yuan Chiu, Glen Chou

CoRR, December, 2025

MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization.

Chengyue Huang, Mellon M. Zhang, Robert Azarcon, Glen Chou, Zsolt Kira

CoRR, November, 2025

Probabilistically-Safe Bipedal Navigation over Uncertain Terrain via Conformal Prediction and Contraction Analysis.

Kasidit Muenprasitivej, Ye Zhao, Glen Chou

CoRR, October, 2025

Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization.

Devesh Nath, Haoran Yin, Glen Chou

CoRR, September, 2025

Robustly Constrained Dynamic Games for Uncertain Nonlinear Dynamics.

Shuyu Zhan, Chih-Yuan Chiu, Antoine P. Leeman, Glen Chou

CoRR, September, 2025

A Convex Formulation of Compliant Contact between Filaments and Rigid Bodies.

Wei-Chen Li, Glen Chou

CoRR, September, 2025

NavMoE: Hybrid Model- and Learning-based Traversability Estimation for Local Navigation via Mixture of Experts.

Botao He, Amir-Hossein Shahidzadeh, Yu Chen, Jiayi Wu, Tianrui Guan, Guofei Chen, Howie Choset, Dinesh Manocha, Glen Chou, Cornelia Fermüller, Yiannis Aloimonos

CoRR, September, 2025

Polar Hierarchical Mamba: Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences.

Mellon M. Zhang, Glen Chou, Saibal Mukhopadhyay

CoRR, June, 2025

2024

Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds.

Yating Lin, Glen Chou, Dmitry Berenson

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification.

Jiayi Pan, Glen Chou, Dmitry Berenson

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.

Craig Knuth, Glen Chou, Jamie Reese, Joseph L. Moore

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

Proceedings of the Conference on Robot Learning, 2023

Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization.

Glen Chou, Russ Tedrake

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".

Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson

IEEE Robotics Autom. Lett., 2022

Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning From Demonstrations.

Glen Chou, Hao Wang, Dmitry Berenson

IEEE Robotics Autom. Lett., 2022

Learning temporal logic formulas from suboptimal demonstrations: theory and experiments.

Glen Chou, Necmiye Ozay, Dmitry Berenson

Auton. Robots, 2022

Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory.

Glen Chou, Necmiye Ozay, Dmitry Berenson

Proceedings of the Algorithmic Foundations of Robotics XV, 2022

2021

Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants.

Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson

IEEE Robotics Autom. Lett., 2021

Learning constraints from demonstrations with grid and parametric representations.

Glen Chou, Dmitry Berenson, Necmiye Ozay

Int. J. Robotics Res., 2021

Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations.

Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson

Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Compositional safety rules for inter-triggering hybrid automata.

Kwesi J. Rutledge, Glen Chou, Necmiye Ozay

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.

Glen Chou, Necmiye Ozay, Dmitry Berenson

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty.

Glen Chou, Necmiye Ozay, Dmitry Berenson

IEEE Robotics Autom. Lett., 2020

Planning with Learned Dynamics: Guaranteed Safety and Reachability via Lipschitz Constants.

Craig Knuth, Glen Chou, Necmiye Ozay, Dmitry Berenson

CoRR, 2020

Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations.

Glen Chou, Necmiye Ozay, Dmitry Berenson

Proceedings of the Robotics: Science and Systems XVI, 2020

Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations.

Glen Chou, Dmitry Berenson, Necmiye Ozay

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning Parametric Constraints in High Dimensions from Demonstrations.

Glen Chou, Necmiye Ozay, Dmitry Berenson

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Using Control Synthesis to Generate Corner Cases: A Case Study on Autonomous Driving.

Glen Chou, Yunus Emre Sahin, Liren Yang, Kwesi J. Rutledge, Petter Nilsson, Necmiye Ozay

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Learning Constraints from Demonstrations.

Glen Chou, Dmitry Berenson, Necmiye Ozay

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

2017

A hybrid framework for multi-vehicle collision avoidance.

Aparna Dhinakaran, Mo Chen, Glen Chou, Jennifer C. Shih, Claire J. Tomlin

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Using Neural Networks for Fast Reachable Set Computations.

Frank Jiang, Glen Chou, Mo Chen, Claire J. Tomlin

CoRR, 2016