Andrew J. Taylor

43 papers A* 1A 2C 2Misc 1Journal 26Unranked 11

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Control Barrier Functions and Input-to-State Safety With Application to Automated Vehicles. IEEE Trans. Control. Syst. Technol. Anil Alan, Andrew J. Taylor, Chaozhe R. He, Aaron D. Ames, Gábor Orosz
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
2022	J	`jnl`	Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics. CoRR Manuel Y. Galliker, Noel Csomay-Shanklin, Ruben Grandia, Andrew J. Taylor, Farbod Farshidian, Marco Hutter, Aaron D. Ames
2022	J	`jnl`	Control Barrier Functions and Input-to-State Safety with Application to Automated Vehicles. CoRR Anil Alan, Andrew J. Taylor, Chaozhe R. He, Aaron D. Ames, Gábor Orosz
2022	—	`conf`	Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. CDC Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames
2022	J	`jnl`	Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. CoRR Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames
2022	—	`conf`	Planar Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics. Humanoids Manuel Y. Galliker, Noel Csomay-Shanklin, Ruben Grandia, Andrew J. Taylor, Farbod Farshidian, Marco Hutter, Aaron D. Ames
2022	—	`conf`	Safe Backstepping with Control Barrier Functions. CDC Andrew J. Taylor, Pio Ong, Tamás G. Molnár, Aaron D. Ames
2022	J	`jnl`	Safe Backstepping with Control Barrier Functions. CoRR Andrew J. Taylor, Pio Ong, Tamás G. Molnár, Aaron D. Ames
2022	J	`jnl`	Safe Controller Synthesis With Tunable Input-to-State Safe Control Barrier Functions. IEEE Control. Syst. Lett. Anil Alan, Andrew J. Taylor, Chaozhe R. He, Gábor Orosz, Aaron D. Ames
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	J	`jnl`	Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically Constrained Quadratic Programs. IEEE Control. Syst. Lett. Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames
2021	J	`jnl`	A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. IEEE Control. Syst. Lett. Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
2021	C	`conf`	Adaptive Safety Using Control Barrier Functions and Hybrid Adaptation. ACC Mohamed Maghenem, Andrew J. Taylor, Aaron D. Ames, Ricardo G. Sanfelice
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	A*	`conf`	Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control. ICRA Ruben Grandia, Andrew J. Taylor, Aaron D. Ames, Marco Hutter
2021	J	`jnl`	Safe Controller Synthesis with Tunable Input-to-State Safe Control Barrier Functions. CoRR Anil Alan, Andrew J. Taylor, Chaozhe R. He, Gábor Orosz, Aaron D. Ames
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
2021	J	`jnl`	Safety-Critical Event Triggered Control via Input-to-State Safe Barrier Functions. IEEE Control. Syst. Lett. Andrew J. Taylor, Pio Ong, Jorge Cortés, Aaron D. Ames
2021	J	`jnl`	Sampled-Data Stabilization with Control Lyapunov Functions via Quadratically Constrained Quadratic Programs. CoRR Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames
2021	—	`conf`	Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CDC Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
2020	J	`jnl`	A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. CoRR Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
2020	C	`conf`	Adaptive Safety with Control Barrier Functions. ACC Andrew J. Taylor, 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
2020	—	`conf`	Learning for Safety-Critical Control with Control Barrier Functions. L4DC Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
2020	J	`jnl`	Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control. CoRR Ruben Grandia, Andrew J. Taylor, Aaron D. Ames, Marco Hutter
2020	—	`conf`	Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions. Robotics: Science and Systems Ruben Grandia, Andrew J. Taylor, Andrew Singletary, Marco Hutter, Aaron D. Ames
2020	J	`jnl`	Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions. CoRR Ruben Grandia, Andrew J. Taylor, Andrew Singletary, Marco Hutter, Aaron D. Ames
2020	J	`jnl`	Safety-Critical Event Triggered Control via Input-to-State Safe Barrier Functions. CoRR Andrew J. Taylor, Pio Ong, Jorge Cortés, Aaron D. Ames
2020	J	`jnl`	Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CoRR Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
2019	—	`conf`	A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. CDC Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019	J	`jnl`	A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. CoRR Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019	J	`jnl`	Adaptive Safety with Control Barrier Functions. CoRR Andrew J. Taylor, Aaron D. Ames
2019	A	`conf`	Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems IROS Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019	J	`jnl`	Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems. CoRR Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019	J	`jnl`	Learning for Safety-Critical Control with Control Barrier Functions. CoRR Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames