Fernando Castañeda

According to our database, Fernando Castañeda authored at least 12 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems.

Jason J. Choi, Fernando Castañeda, Wonsuhk Jung, Bike Zhang, Claire J. Tomlin, Koushil Sreenath

CoRR, 2023

In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States.

Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Probabilistic Safe Online Learning with Control Barrier Functions.

Fernando Castañeda, Jason J. Choi, Wonsuhk Jung, Bike Zhang, Claire J. Tomlin, Koushil Sreenath

CoRR, 2022

Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning.

Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath

Proceedings of the Conference on Robot Learning, 2022

2021

Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty.

Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath

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

Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics.

Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath

Proceedings of the 2021 American Control Conference, 2021

Combining Model-Based Design and Model-Free Policy Optimization to Learn Safe, Stabilizing Controllers.

Tyler Westenbroek, Ayush Agrawal, Fernando Castañeda, S. Shankar Sastry, Koushil Sreenath

Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

2020

Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects.

Fernando Castañeda, Jason J. Choi, Bike Zhang, Claire J. Tomlin, Koushil Sreenath

CoRR, 2020

Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions.

Jason J. Choi, Fernando Castañeda, Claire J. Tomlin, Koushil Sreenath

Proceedings of the Robotics: Science and Systems XVI, 2020

Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning.

Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire J. Tomlin, Koushil Sreenath

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning Min-norm Stabilizing Control Laws for Systems with Unknown Dynamics.

Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, S. Shankar Sastry, Koushil Sreenath

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2004

High rank elliptic curves with torsion group Integer/(2*Integer).

Julián Aguirre, Fernando Castañeda, Juan Carlos Peral

Math. Comput., 2004