Ryan K. Cosner

45 papers A* 4A 2Misc 1Journal 30Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Safe-SAGE: Social-Semantic Adaptive Guidance for Safe Engagement through Laplace-Modulated Poisson Safety Functions. CoRR Lizhi Yang, Ryan M. Bena, Meg Wilkinson, Gilbert Bahati, Andy Navarro Brenes, Ryan K. Cosner, Aaron D. Ames
2025	—	`conf`	Control Barrier Function Synthesis for Nonlinear Systems with Dual Relative Degree. CDC Gilbert Bahati, Ryan K. Cosner, Max H. Cohen, Ryan M. Bena, Aaron D. Ames
2025	J	`jnl`	Control Barrier Function Synthesis for Nonlinear Systems with Dual Relative Degree. CoRR Gilbert Bahati, Ryan K. Cosner, Max H. Cohen, Ryan M. Bena, Aaron D. Ames
2025	—	`conf`	Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC. Humanoids Ryan M. Bena, Gilbert Bahati, Blake Werner, Ryan K. Cosner, Lizhi Yang, Aaron D. Ames
2025	J	`jnl`	Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC. CoRR Ryan M. Bena, Gilbert Bahati, Blake Werner, Ryan K. Cosner, Lizhi Yang, Aaron D. Ames
2025	J	`jnl`	Learning Safe Control via On-the-Fly Bandit Exploration. CoRR Alexandre Capone, Ryan K. Cosner, Aaaron Ames, Sandra Hirche
2025	J	`jnl`	Probabilistic Control Barrier Functions: Safety in Probability for Discrete-Time Stochastic Systems. CoRR Pol Mestres, Blake Werner, Ryan K. Cosner, Aaron D. Ames
2025	J	`jnl`	Risk-Aware Safety Filters with Poisson Safety Functions and Laplace Guidance Fields. CoRR Gilbert Bahati, Ryan M. Bena, Meg Wilkinson, Pol Mestres, Ryan K. Cosner, Aaron D. Ames
2025	A	`conf`	SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics. IROS Lizhi Yang, Blake Werner, Ryan K. Cosner, David Fridovich-Keil, Preston Culbertson, Aaron D. Ames
2025	J	`jnl`	SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics. CoRR Lizhi Yang, Blake Werner, Ryan K. Cosner, David Fridovich-Keil, Preston Culbertson, Aaron D. Ames
2024	J	`jnl`	A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems. CoRR Devansh R. Agrawal, Hardik Parwana, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
2024	J	`jnl`	Bounding Stochastic Safety: Leveraging Freedman's Inequality With Discrete-Time Control Barrier Functions. IEEE Control. Syst. Lett. Ryan K. Cosner, Preston Culbertson, Aaron D. Ames
2024	J	`jnl`	Bounding Stochastic Safety: Leveraging Freedman's Inequality with Discrete-Time Control Barrier Functions. CoRR Ryan K. Cosner, Preston Culbertson, Aaron D. Ames
2024	J	`jnl`	Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems. CoRR Max H. Cohen, Ryan K. Cosner, Aaron D. Ames
2024	J	`jnl`	Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems. IEEE Control. Syst. Lett. Max H. Cohen, Ryan K. Cosner, Aaron D. Ames
2024	A*	`conf`	Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions. ICRA Ryan K. Cosner, Igor Sadalski, Jana K. Woo, Preston Culbertson, Aaron D. Ames
2023	J	`jnl`	Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions. CoRR Ryan K. Cosner, Igor Sadalski, Jana K. Woo, Preston Culbertson, Aaron D. Ames
2023	—	`conf`	Input-to-State Stability in Probability. CDC Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames
2023	J	`jnl`	Input-to-State Stability in Probability. CoRR Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames
2023	A*	`conf`	Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. ICRA Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone
2023	J	`jnl`	Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. CoRR Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone
2023	A*	`conf`	Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. ICRA Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Péter Karkus, Marco Pavone
2023	—	`conf`	Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. Robotics: Science and Systems Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames
2023	J	`jnl`	Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. CoRR Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames
2023	J	`jnl`	Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates. CoRR Alexandre Capone, Ryan K. Cosner, Aaron D. Ames, Sandra Hirche
2022	J	`jnl`	A Constructive Method for Designing Safe Multirate Controllers for Differentially-Flat Systems. IEEE Control. Syst. Lett. Devansh Agrawal, Hardik Parwana, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
2022	—	`conf`	End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CDC Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022	J	`jnl`	End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. CoRR Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022	J	`jnl`	Model-Free Safety-Critical Control for Robotic Systems. IEEE Robotics Autom. Lett. Tamás G. Molnár, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames
2022	J	`jnl`	Multi-Rate Control Design Under Input Constraints via Fixed-Time Barrier Functions. IEEE Control. Syst. Lett. Kunal Garg, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
2022	J	`jnl`	Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. CoRR Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Marco Pavone
2022	—	`conf`	Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models. CDC Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022	J	`jnl`	Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models. CoRR Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022	—	`conf`	Safety-Aware Preference-Based Learning for Safety-Critical Control. L4DC Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames
2022	A*	`conf`	Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. ICRA Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
2022	J	`jnl`	Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. CoRR Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
2021	—	`conf`	Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety. L4DC Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames
2021	J	`jnl`	Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety. CoRR Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames
2021	A	`conf`	Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. IROS Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
2021	J	`jnl`	Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. CoRR Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
2021	J	`jnl`	Model-Free Safety-Critical Control for Robotic Systems. CoRR Tamás G. Molnár, Ryan K. Cosner, Andrew W. Singletary, Wyatt Ubellacker, Aaron D. Ames
2021	J	`jnl`	Multi-rate Control Design under Input Constraints via Fixed-Time Barrier Functions. CoRR Kunal Garg, Ryan K. Cosner, Ugo Rosolia, Aaron D. Ames, Dimitra Panagou
2021	J	`jnl`	Safety-Aware Preference-Based Learning for Safety-Critical Control. CoRR Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames
2020	Misc	`conf`	Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRL Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
2020	J	`jnl`	Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRR Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames