Ryan K. Cosner
Orcid: 0000-0002-4035-1425
According to our database1,
Ryan K. Cosner
authored at least 19 papers
between 2020 and 2024.
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Bibliography
2024
Bounding Stochastic Safety: Leveraging Freedman's Inequality With Discrete-Time Control Barrier Functions.
IEEE Control. Syst. Lett., 2024
Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems.
CoRR, 2024
Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates.
CoRR, 2023
Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
IEEE Robotics Autom. Lett., 2022
IEEE Control. Syst. Lett., 2022
A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems.
IEEE Control. Syst. Lett., 2022
Proceedings of the Learning for Dynamics and Control Conference, 2022
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.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions.
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.
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.
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.
Proceedings of the 4th Conference on Robot Learning, 2020