Glen Chou

发表

Incremental Segmentation of ARX Models

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2018 .

Using Neural Networks to Compute Approximate and Guaranteed Feasible Hamilton-Jacobi-Bellman PDE Solutions

Mo Chen, Claire J. Tomlin, Glen Chou, 2016, 1611.03158.

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

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2020, ArXiv.

Learning Parametric Constraints in High Dimensions from Demonstrations pdf

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2019, CoRL.

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

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2020, Robotics: Science and Systems.

Learning constraints from demonstrations with grid and parametric representations pdf

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2018, WAFR.

Learning Constraints From Locally-Optimal Demonstrations Under Cost Function Uncertainty

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2020, IEEE Robotics and Automation Letters.

A hybrid framework for multi-vehicle collision avoidance

Mo Chen, Claire J. Tomlin, Glen Chou, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Inferring Obstacles and Path Validity from Visibility-Constrained Demonstrations pdf

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2020, WAFR.

Using Neural Networks for Fast Reachable Set Computations pdf

Mo Chen, Claire J. Tomlin, Glen Chou, 2016, ArXiv.

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

Petter Nilsson, Yunus Emre Sahin, Necmiye Ozay, 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2020, CoRL.

Learning temporal logic formulas from suboptimal demonstrations: theory and experiments

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2021, Autonomous Robots.

Correction to "Planning With Learned Dynamics: Probabilistic Guarantees on Safety and Reachability Via Lipschitz Constants"

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2022, IEEE Robotics Autom. Lett..

Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations pdf

Dmitry Berenson, Glen Chou, Hao Wang, 2021, ArXiv.

Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems pdf

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2021, ArXiv.

Learning constraints from demonstrations with grid and parametric representations

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2021, Int. J. Robotics Res..

Compositional safety rules for inter-triggering hybrid automata

Necmiye Ozay, Glen Chou, Kwesi J. Rutledge, 2021, HSCC.

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

Dmitry Berenson, Necmiye Ozay, Glen Chou, 2021, IEEE Robotics and Automation Letters.