| 2025 | IROS | SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics. | Lizhi Yang, Blake Werner, Ryan K. Cosner, David Fridovich-Keil, Preston Culbertson, Aaron D. Ames |
| 2024 | ICRA | Generative Modeling of Residuals for Real-Time Risk-Sensitive Safety with Discrete-Time Control Barrier Functions. | Ryan K. Cosner, Igor Sadalski, Jana K. Woo, Preston Culbertson, Aaron D. Ames |
| 2023 | ICRA | Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. | Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone |
| 2023 | ICRA | Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. | Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Pter Karkus, Marco Pavone |
| 2022 | ICRA | Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. | Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tams G. Molnr, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman |
| 2021 | IROS | Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. | Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tams G. Molnr, Katherine L. Bouman, Aaron D. Ames |
| 2020 | CoRL | 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 |