Deep Learning Tubes for Tube MPC

Deep Learning Tubes for Tube MPC

5 February 2020

Ali-akbar Agha-mohammadi

Evangelos A. Theodorou

Papers citing "Deep Learning Tubes for Tube MPC"

16 / 16 papers shown

Title
Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics Spyridon Syntakas K. Vlachos 49 0 0 04 Jun 2024
Deep Model Predictive Control Prabhat Kumar Mishra M. V. Gasparino A. E. B. Velasquez Girish Chowdhary 16 0 0 27 Feb 2023
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty Joshua Ott Sung-Kyun Kim Amanda Bouman Oriana Peltzer Mamoru Sobue Harrison Delecki Mykel J. Kochenderfer J. W. Burdick Ali-akbar Agha-mohammadi 48 6 0 12 Sep 2022
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models Zhongyu Li Jun Zeng A. Thirugnanam K. Sreenath 29 16 0 11 May 2022
Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC Andrea Tagliabue Dong-Ki Kim M. Everett Jonathan P. How 58 22 0 21 Sep 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 120 173 0 14 Sep 2021
Learning Risk-aware Costmaps for Traversability in Challenging Environments David D. Fan Sharmita Dey Ali-akbar Agha-mohammadi Evangelos A. Theodorou 39 30 0 25 Jul 2021
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems Glen Chou N. Ozay Dmitry Berenson 32 25 0 18 Apr 2021
Dual Online Stein Variational Inference for Control and Dynamics Lucas Barcelos Alexander Lambert Rafael Oliveira Paulo Borges Byron Boots F. Ramos 30 27 0 23 Mar 2021
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge A. Agha K. Otsu B. Morrell David D. Fan Rohan Thakker ... Giovanni Beltrame G. Nikolakopoulos David Hyunchul Shim Luca Carlone J. W. Burdick 38 142 0 21 Mar 2021
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty Richard Cheng R. Murray J. W. Burdick 39 6 0 05 Mar 2021
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation David D. Fan K. Otsu Y. Kubo Anushri Dixit J. W. Burdick Ali-Akbar Agha-Mohammadi 30 55 0 04 Mar 2021
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling T. Lew Marco Pavone AAML 30 53 0 24 Aug 2020
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics M. J. Khojasteh Vikas Dhiman M. Franceschetti Nikolay Atanasov 34 73 0 20 Dec 2019
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 81 263 0 07 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015