Ames, Aaron

10 publications

ICML 2025 Learning Safe Control via On-the-Fly Bandit Exploration Alexandre Capone, Ryan Kazuo Cosner, Aaron Ames, Sandra Hirche

TMLR 2025 Preferential Multi-Objective Bayesian Optimization Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron Ames, Yisong Yue

CoRL 2024 Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer Tyler Ga Wei Lum, Albert H. Li, Preston Culbertson, Krishnan Srinivasan, Aaron Ames, Mac Schwager, Jeannette Bohg

L4DC 2023 Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less than One Minute of Data Prithvi Akella, Skylar X Wei, Joel W. Burdick, Aaron Ames

ICMLW 2023 Preferential Multi-Attribute Bayesian Optimization with Application to Exoskeleton Personalization Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron Ames, Yisong Yue

ICML 2022 LyaNet: A Lyapunov Framework for Training Neural ODEs Ivan Dario Jimenez Rodriguez, Aaron Ames, Yisong Yue

L4DC 2022 Safety-Aware Preference-Based Learning for Safety-Critical Control Ryan Cosner, Maegan Tucker, Andrew Taylor, Kejun Li, Tamas Molnar, Wyatt Ubelacker, Anil Alan, Gabor Orosz, Yisong Yue, Aaron Ames

CoRL 2020 Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions Sarah Dean, Andrew Taylor, Ryan Cosner, Benjamin Recht, Aaron Ames

L4DC 2020 Learning for Safety-Critical Control with Control Barrier Functions Andrew Taylor, Andrew Singletary, Yisong Yue, Aaron Ames

CoRL 2020 Reactive Motion Planning with Probabilisticsafety Guarantees Yuxiao Chen, Ugo Rosolia, Chuchu Fan, Aaron Ames, Richard Murray