Ryan K. Cosner

According to our database, Ryan K. Cosner authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

Bounding Stochastic Safety: Leveraging Freedman's Inequality With Discrete-Time Control Barrier Functions.

Ryan K. Cosner, Preston Culbertson, Aaron D. Ames

IEEE Control. Syst. Lett., 2024

Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems.

Max H. Cohen, Ryan K. Cosner, Aaron D. Ames

IEEE Control. Syst. Lett., 2024

Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions.

Ryan K. Cosner, Igor Sadalski, Jana K. Woo, Preston Culbertson, Aaron D. Ames

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

2023

Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates.

Alexandre Capone, Ryan K. Cosner, Aaron D. Ames, Sandra Hirche

CoRR, 2023

Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions.

Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.

Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone

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

Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving.

Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone

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

Input-to-State Stability in Probability.

Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Model-Free Safety-Critical Control for Robotic Systems.

Tamás G. Molnár, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames

IEEE Robotics Autom. Lett., 2022

Multi-Rate Control Design Under Input Constraints via Fixed-Time Barrier Functions.

Kunal Garg, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou

IEEE Control. Syst. Lett., 2022

A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems.

Devansh Agrawal, Hardik Parwana, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou

IEEE Control. Syst. Lett., 2022

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles.

Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Marco Pavone

CoRR, 2022

Safety-Aware Preference-Based Learning for Safety-Critical Control.

Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames

Proceedings of the Learning for Dynamics and Control Conference, 2022

Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.

Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models.

Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions.

Ryan K. Cosner, Yisong Yue, Aaron D. Ames

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety.

Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State.

Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions.

Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames

Proceedings of the 4th Conference on Robot Learning, 2020