Particle MPC for Uncertain and Learning-Based Control

6 April 2021

Papers citing "Particle MPC for Uncertain and Learning-Based Control"

8 / 8 papers shown

Title
Risk-Averse Model Predictive Control for Racing in Adverse Conditions Thomas Lew Marcus Greiff Franck Djeumou Makoto Suminaka Michael Thompson John Subosits 28 0 0 22 Oct 2024
Guarantees on Robot System Performance Using Stochastic Simulation Rollouts Joseph A. Vincent Aaron O. Feldman Mac Schwager 46 6 0 19 Sep 2023
Closing the Loop on Runtime Monitors with Fallback-Safe MPC Rohan Sinha Edward Schmerling Marco Pavone 25 10 0 15 Sep 2023
Risk-Averse Trajectory Optimization via Sample Average Approximation T. Lew Riccardo Bonalli Marco Pavone 26 9 0 06 Jul 2023
Model Predictive Control for Flexible Joint Robots Maged Iskandar C. V. Ommeren Xuwei Wu Alin Albu-Schaffer Alexander Dietrich 16 1 0 14 Oct 2022
Learning Deep SDF Maps Online for Robot Navigation and Exploration Gadiel Sznaier Camps Robert Dyro Marco Pavone Mac Schwager 21 12 0 21 Jul 2022
Sample Average Approximation for Stochastic Programming with Equality Constraints T. Lew Riccardo Bonalli Marco Pavone 6 7 0 20 Jun 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016