Ryan K. Cosner

According to our database, Ryan K. Cosner authored at least 9 papers between 2020 and 2022.

Collaborative distances:

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

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

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

CoRR, 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

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

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