Ivan Dario Jimenez Rodriguez

According to our database, Ivan Dario Jimenez Rodriguez authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

2025

KALIKO: Kalman-Implicit Koopman Operator Learning For Prediction of Nonlinear Dynamical Systems.

Albert H. Li, Ivan Dario Jimenez Rodriguez, Joel W. Burdick, Yisong Yue, Aaron D. Ames

CoRR, December, 2025

2024

Robust Agility via Learned Zero Dynamics Policies.

Noel Csomay-Shanklin, William D. Compton, Ivan Dario Jimenez Rodriguez, Eric R. Ambrose, Yisong Yue, Aaron D. Ames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Constructive Nonlinear Control of Underactuated Systems via Zero Dynamics Policies.

William D. Compton, Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2022

FI-ODE: Certified and Robust Forward Invariance in Neural ODEs.

Yujia Huang, Ivan Dario Jimenez Rodriguez, Huan Zhang, Yuanyuan Shi, Yisong Yue

CoRR, 2022

Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies.

Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames

Proceedings of the Learning for Dynamics and Control Conference, 2022

Safe Drone Flight with Time-Varying Backup Controllers.

Andrew Singletary, Aiden Swann, Ivan Dario Jimenez Rodriguez, Aaron D. Ames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.

Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

LyaNet: A Lyapunov Framework for Training Neural ODEs.

Ivan Dario Jimenez Rodriguez, Aaron D. Ames, Yisong Yue

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning Unstable Dynamics with One Minute of Data: A Differentiation-based Gaussian Process Approach.

Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue

CoRR, 2021

Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control.

Ivan D. Jimenez Rodriguez, Ugo Rosolia, Aaron D. Ames, Yisong Yue

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2019

Interpretable Reinforcement Learning via Differentiable Decision Trees.

Ivan Dario Jimenez Rodriguez, Taylor W. Killian, Sung-Hyun Son, Matthew C. Gombolay

CoRR, 2019

2018

Differentiable MPC for End-to-end Planning and Control.

Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018