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Journal Articles
- 2024
[j5]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: 1937-1942 (2024)- [j4]Max H. Cohen, Ryan K. Cosner, Aaron D. Ames:
Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems. IEEE Control. Syst. Lett. 8: 2229-2234 (2024) - 2022
- [j3]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: 608-613 (2022) - [j2]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: 2138-2143 (2022) - [j1]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): 944-951 (2022)
Conference and Workshop Papers
- 2024
- [c12]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: i-viii - 2023
- [c11]Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames:
Input-to-State Stability in Probability. CDC 2023: 5796-5803 - [c10]Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone:
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. ICRA 2023: 1507-1513 - [c9]Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone:
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. ICRA 2023: 9757-9763 - [c8]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 - 2022
- [c7]Ryan K. Cosner, Yisong Yue, Aaron D. Ames:
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CDC 2022: 5316-5322 - [c6]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: 7127-7134 - [c5]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: 11487-11493 - [c4]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: 1020-1033 - 2021
- [c3]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: 6286-6291 - [c2]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: 1041-1053 - 2020
- [c1]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: 654-670
Informal and Other Publications
- 2024
- [i18]Ryan K. Cosner, Preston Culbertson, Aaron D. Ames:
Bounding Stochastic Safety: Leveraging Freedman's Inequality with Discrete-Time Control Barrier Functions. CoRR abs/2403.05745 (2024) - [i17]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 abs/2403.18015 (2024) - [i16]Max H. Cohen, Ryan K. Cosner, Aaron D. Ames:
Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems. CoRR abs/2406.02709 (2024) - 2023
- [i15]Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames:
Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. CoRR abs/2302.07469 (2023) - [i14]Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone:
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. CoRR abs/2303.03504 (2023) - [i13]Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames:
Input-to-State Stability in Probability. CoRR abs/2304.14578 (2023) - [i12]Alexandre Capone, Ryan K. Cosner, Aaron D. Ames, Sandra Hirche:
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates. CoRR abs/2311.02133 (2023) - [i11]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 abs/2311.05802 (2023) - 2022
- [i10]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 abs/2203.01404 (2022) - [i9]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 abs/2203.11470 (2022) - [i8]Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Marco Pavone:
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. CoRR abs/2212.03323 (2022) - [i7]Ryan K. Cosner, Yisong Yue, Aaron D. Ames:
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CoRR abs/2212.11365 (2022) - 2021
- [i6]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 abs/2103.03695 (2021) - [i5]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 abs/2104.14030 (2021) - [i4]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 abs/2105.01697 (2021) - [i3]Tamás G. Molnár, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames:
Model-Free Safety-Critical Control for Robotic Systems. CoRR abs/2109.09047 (2021) - [i2]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 abs/2112.08516 (2021) - 2020
- [i1]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 abs/2010.16001 (2020)
Coauthor Index
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