Ryan K. Cosner

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 34

Top Topics

Markov Decision Chains

Receding Horizon

Safety Analysis

Top Venues

IEEE Control. Syst. Lett.

Publications

Ryan K. Cosner, Preston Culbertson, Aaron D. Ames
Bounding Stochastic Safety: Leveraging Freedman's Inequality with Discrete-Time Control Barrier Functions. CoRR (2024)
Max H. Cohen, Ryan K. Cosner, Aaron D. Ames
Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems. CoRR (2024)
Ryan K. Cosner, Preston Culbertson, Aaron D. Ames
Bounding Stochastic Safety: Leveraging Freedman's Inequality With Discrete-Time Control Barrier Functions. IEEE Control. Syst. Lett. 8 (2024)
Devansh R. Agrawal, Hardik Parwana, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems. CoRR (2024)
Ryan K. Cosner, Igor Sadalski, Jana K. Woo, Preston Culbertson, Aaron D. Ames
Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions. ICRA (2024)
Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames
Input-to-State Stability in Probability. CoRR (2023)
Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames
Input-to-State Stability in Probability. CDC (2023)
Ryan K. Cosner, Igor Sadalski, Jana K. Woo, Preston Culbertson, Aaron D. Ames
Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions. CoRR (2023)
Alexandre Capone, Ryan K. Cosner, Aaron D. Ames, Sandra Hirche
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates. CoRR (2023)
Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames
Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. CoRR (2023)
Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. ICRA (2023)
Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. CoRR (2023)
Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. ICRA (2023)
Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames
Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. Robotics: Science and Systems (2023)
Ryan K. Cosner, Yisong Yue, Aaron D. Ames
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CDC (2022)
Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. CoRR (2022)
Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models. CDC (2022)
Kunal Garg, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
Multi-Rate Control Design Under Input Constraints via Fixed-Time Barrier Functions. IEEE Control. Syst. Lett. 6 (2022)
Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Marco Pavone
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. CoRR (2022)
Ryan K. Cosner, Yisong Yue, Aaron D. Ames
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CoRR (2022)
Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames
Safety-Aware Preference-Based Learning for Safety-Critical Control. L4DC (2022)
Devansh Agrawal, Hardik Parwana, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems. IEEE Control. Syst. Lett. 6 (2022)
Tamás G. Molnár, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames
Model-Free Safety-Critical Control for Robotic Systems. IEEE Robotics Autom. Lett. 7 (2) (2022)
Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. ICRA (2022)
Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models. CoRR (2022)
Tamás G. Molnár, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames
Model-Free Safety-Critical Control for Robotic Systems. CoRR (2021)
Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. CoRR (2021)
Kunal Garg, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
Multi-rate Control Design under Input Constraints via Fixed-Time Barrier Functions. CoRR (2021)
Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety. CoRR (2021)
Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. IROS (2021)
Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames
Safety-Aware Preference-Based Learning for Safety-Critical Control. CoRR (2021)
Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety. L4DC (2021)
Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRR (2020)
Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRL (2020)