Online Dynamics Learning for Predictive Control with an Application to Aerial Robots

19 July 2022

Papers citing "Online Dynamics Learning for Predictive Control with an Application to Aerial Robots"

19 / 19 papers shown

Title
Action Flow Matching for Continual Robot Learning Alejandro Murillo-Gonzalez Lantao Liu CLL 35 0 0 25 Apr 2025
Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control K. Y. Chee Pei-An Hsieh George J. Pappas M. Hsieh 26 1 0 13 Oct 2024
Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots Tom Z. Jiahao Ryan Adolf Cynthia Sung M. Ani Hsieh 38 0 0 14 Aug 2024
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models Hersh Sanghvi Spencer Folk Camillo J. Taylor 40 3 0 25 Jun 2024
Learning Based NMPC Adaptation for Autonomous Driving using Parallelized Digital Twin Jean Pierre Allamaa Panagiotis Patrinos H. Auweraer Tong Duy Son 23 0 0 26 Feb 2024
Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds Yuliang Gu Sheng Cheng N. Hovakimyan 35 2 0 27 Jan 2024
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control Ran Tao Sheng Cheng Xiaofeng Wang Shenlong Wang N. Hovakimyan 22 5 0 18 Dec 2023
ASV Station Keeping under Wind Disturbances using Neural Network Simulation Error Minimization Model Predictive Control Jalil Chavez-Galaviz Jianwen Li Ajinkya Chaudhary N. Mahmoudian 22 4 0 11 Oct 2023
Enhancing Sample Efficiency and Uncertainty Compensation in Learning-based Model Predictive Control for Aerial Robots K. Y. Chee T. Silva M. A. Hsieh George J. Pappas 20 4 0 01 Aug 2023
Adaptive Force-Based Control of Dynamic Legged Locomotion over Uneven Terrain M. Sombolestan Quan Nguyen 19 16 0 08 Jul 2023
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics Taekyung Kim Jungwi Mun Junwon Seo Beomsu Kim S. Hong 34 11 0 20 May 2023
Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes Sandeep Manjanna Tom Z. Jiahao M. A. Hsieh 16 0 0 03 Apr 2023
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles K. Y. Chee M. Hsieh Nikolai Matni 18 3 0 24 Nov 2022
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control Alessandro Saviolo Jonathan Frey Abhishek Rathod Moritz Diehl Giuseppe Loianno 58 25 0 23 Oct 2022
Learning Globally Smooth Functions on Manifolds J. Cerviño Luiz F. O. Chamon B. Haeffele René Vidal Alejandro Ribeiro 27 5 0 01 Oct 2022
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations Achkan Salehi Steffen Rühl Stéphane Doncieux AI4CE 13 2 0 25 Jul 2022
Data-Driven MPC for Quadrotors G. Torrente Elia Kaufmann Philip Föhn Davide Scaramuzza 83 208 0 10 Feb 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 424 0 10 Mar 2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems Alexander Wikner Jaideep Pathak Brian Hunt M. Girvan T. Arcomano I. Szunyogh Andrew Pomerance Edward Ott AI4CE 62 70 0 10 Feb 2020