Andrew J. Taylor

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 43

Top Topics

Robotic Systems

Model Predictive Control

Lyapunov Function

Top Venues

IEEE Control. Syst. Lett.

Publications

Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames
Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. CoRR (2023)
Anil Alan, Andrew J. Taylor, Chaozhe R. He, Aaron D. Ames, Gábor Orosz
Control Barrier Functions and Input-to-State Safety With Application to Automated Vehicles. IEEE Trans. Control. Syst. Technol. 31 (6) (2023)
Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames
Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions. Robotics: Science and Systems (2023)
Manuel Y. Galliker, Noel Csomay-Shanklin, Ruben Grandia, Andrew J. Taylor, Farbod Farshidian, Marco Hutter, Aaron D. Ames
Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics. CoRR (2022)
Anil Alan, Andrew J. Taylor, Chaozhe R. He, Gábor Orosz, Aaron D. Ames
Safe Controller Synthesis With Tunable Input-to-State Safe Control Barrier Functions. IEEE Control. Syst. Lett. 6 (2022)
Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames
Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically Constrained Quadratic Programs. IEEE Control. Syst. Lett. 6 (2022)
Andrew J. Taylor, Pio Ong, Tamás G. Molnár, Aaron D. Ames
Safe Backstepping with Control Barrier Functions. CDC (2022)
Andrew J. Taylor, Pio Ong, Tamás G. Molnár, Aaron D. Ames
Safe Backstepping with Control Barrier Functions. CoRR (2022)
Manuel Y. Galliker, Noel Csomay-Shanklin, Ruben Grandia, Andrew J. Taylor, Farbod Farshidian, Marco Hutter, Aaron D. Ames
Planar Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics. Humanoids (2022)
Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models. CDC (2022)
Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames
Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. CDC (2022)
Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames
Safety-Aware Preference-Based Learning for Safety-Critical Control. L4DC (2022)
Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames
Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. CoRR (2022)
Anil Alan, Andrew J. Taylor, Chaozhe R. He, Aaron D. Ames, Gábor Orosz
Control Barrier Functions and Input-to-State Safety with Application to Automated Vehicles. CoRR (2022)
Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
Safety of Sampled-Data Systems with Control Barrier Functions via Approximate Discrete Time Models. CoRR (2022)
Anil Alan, Andrew J. Taylor, Chaozhe R. He, Gábor Orosz, Aaron D. Ames
Safe Controller Synthesis with Tunable Input-to-State Safe Control Barrier Functions. CoRR (2021)
Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CDC (2021)
Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. IEEE Control. Syst. Lett. 5 (3) (2021)
Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. CoRR (2021)
Ruben Grandia, Andrew J. Taylor, Aaron D. Ames, Marco Hutter
Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control. ICRA (2021)
Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety. CoRR (2021)
Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. IROS (2021)
Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames
Sampled-Data Stabilization with Control Lyapunov Functions via Quadratically Constrained Quadratic Programs. CoRR (2021)
Mohamed Maghenem, Andrew J. Taylor, Aaron D. Ames, Ricardo G. Sanfelice
Adaptive Safety Using Control Barrier Functions and Hybrid Adaptation. ACC (2021)
Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames
Safety-Aware Preference-Based Learning for Safety-Critical Control. CoRR (2021)
Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety. L4DC (2021)
Andrew J. Taylor, Pio Ong, Jorge Cortés, Aaron D. Ames
Safety-Critical Event Triggered Control via Input-to-State Safe Barrier Functions. IEEE Control. Syst. Lett. 5 (3) (2021)
Andrew J. Taylor, Aaron D. Ames
Adaptive Safety with Control Barrier Functions. ACC (2020)
Ruben Grandia, Andrew J. Taylor, Andrew Singletary, Marco Hutter, Aaron D. Ames
Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions. CoRR (2020)
Ruben Grandia, Andrew J. Taylor, Aaron D. Ames, Marco Hutter
Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control. CoRR (2020)
Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRR (2020)
Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRL (2020)
Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. CoRR (2020)
Ruben Grandia, Andrew J. Taylor, Andrew Singletary, Marco Hutter, Aaron D. Ames
Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions. Robotics: Science and Systems (2020)
Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
Learning for Safety-Critical Control with Control Barrier Functions. L4DC (2020)
Andrew J. Taylor, Pio Ong, Jorge Cortés, Aaron D. Ames
Safety-Critical Event Triggered Control via Input-to-State Safe Barrier Functions. CoRR (2020)
Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CoRR (2020)
Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. CDC (2019)
Andrew J. Taylor, Aaron D. Ames
Adaptive Safety with Control Barrier Functions. CoRR (2019)
Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems. CoRR (2019)
Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames
Learning for Safety-Critical Control with Control Barrier Functions. CoRR (2019)
Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames
. IROS (2019)
Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. CoRR (2019)