Andrew J. Taylor

According to our database, Andrew J. Taylor authored at least 24 papers between 2019 and 2023.

Collaborative distances:

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

2023

Control Barrier Functions and Input-to-State Safety With Application to Automated Vehicles.

Anil Alan, Andrew J. Taylor, Chaozhe R. He, Aaron D. Ames, Gábor Orosz

IEEE Trans. Control. Syst. Technol., November, 2023

Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions.

Ryan K. Cosner, Preston Culbertson, Andrew J. Taylor, Aaron D. Ames

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

Sampled-Data Stabilization With Control Lyapunov Functions via Quadratically Constrained Quadratic Programs.

Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames

IEEE Control. Syst. Lett., 2022

Safe Controller Synthesis With Tunable Input-to-State Safe Control Barrier Functions.

Anil Alan, Andrew J. Taylor, Chaozhe R. He, Gábor Orosz, Aaron D. Ames

IEEE Control. Syst. Lett., 2022

Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics.

Manuel Y. Galliker, Noel Csomay-Shanklin, Ruben Grandia, Andrew J. Taylor, Farbod Farshidian, Marco Hutter, Aaron D. Ames

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

Planar Bipedal Locomotion with Nonlinear Model Predictive Control: Online Gait Generation using Whole-Body Dynamics.

Manuel Y. Galliker, Noel Csomay-Shanklin, Ruben Grandia, Andrew J. Taylor, Farbod Farshidian, Marco Hutter, Aaron D. Ames

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Safe Backstepping with Control Barrier Functions.

Andrew J. Taylor, Pio Ong, Tamás G. Molnár, Aaron D. Ames

Proceedings of the 61st IEEE Conference on Decision and Control, 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

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions.

Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety.

Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames

IEEE Control. Syst. Lett., 2021

Safety-Critical Event Triggered Control via Input-to-State Safe Barrier Functions.

Andrew J. Taylor, Pio Ong, Jorge Cortés, Aaron D. Ames

IEEE Control. Syst. Lett., 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

Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control.

Ruben Grandia, Andrew J. Taylor, Aaron D. Ames, Marco Hutter

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty.

Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Adaptive Safety Using Control Barrier Functions and Hybrid Adaptation.

Mohamed Maghenem, Andrew J. Taylor, Aaron D. Ames, Ricardo G. Sanfelice

Proceedings of the 2021 American Control Conference, 2021

2020

Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions.

Ruben Grandia, Andrew J. Taylor, Andrew Singletary, Marco Hutter, Aaron D. Ames

Proceedings of the Robotics: Science and Systems XVI, 2020

Learning for Safety-Critical Control with Control Barrier Functions.

Andrew J. Taylor, Andrew Singletary, Yisong Yue, Aaron D. Ames

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 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

Adaptive Safety with Control Barrier Functions.

Andrew J. Taylor, Aaron D. Ames

Proceedings of the 2020 American Control Conference, 2020

2019

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems.

Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames

CoRR, 2019

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems^*.

Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability.

Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames

Proceedings of the 58th IEEE Conference on Decision and Control, 2019