A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. - Andrew J. Taylor; Victor D. Dorobantu; Meera Krishnamoorthy; Hoang Minh Le 002; Yisong Yue; Aaron D. Ames (CDC, 2019)

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems*. - Andrew J. Taylor; Victor D. Dorobantu; Hoang Minh Le 002; Yisong Yue; Aaron D. Ames (IROS, 2019)

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems. - Andrew J. Taylor; Victor D. Dorobantu; Hoang Minh Le 002; Yisong Yue; Aaron D. Ames (CoRR, 2019)

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 (CDC, 2021)

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 (CDC, 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)

Nonlinear Model Predictive Control of a 3D Hopping Robot: Leveraging Lie Group Integrators for Dynamically Stable Behaviors. - Noel Csomay-Shanklin; Victor D. Dorobantu; Aaron D. Ames (ICRA, 2023)

Conformal Generative Modeling on Triangulated Surfaces. - Victor D. Dorobantu; Charlotte Borcherds; Yisong Yue (CoRR, 2023)

Compactly Restrictable Metric Policy Optimization Problems. - Victor D. Dorobantu; Kamyar Azizzadenesheli; Yisong Yue (IEEE Trans. Autom. Control., 2023)