A General Framework for Structured Learning of Mechanical Systems

A General Framework for Structured Learning of Mechanical Systems

22 February 2019

Jayesh K. Gupta

Zachary Manchester

Mykel J. Kochenderfer

Papers citing "A General Framework for Structured Learning of Mechanical Systems"

14 / 14 papers shown

Title
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay Atanasov 54 10 0 17 Jan 2024
Discovering interpretable Lagrangian of dynamical systems from data Tapas Tripura S. Chakraborty 32 4 0 09 Feb 2023
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body J. Mason Christine Allen-Blanchette Nicholas Zolman Elizabeth Davison Naomi Ehrich Leonard 3DH AI4CE 51 8 0 23 Sep 2022
Lagrangian Density Space-Time Deep Neural Network Topology B. Bishnoi PINN 25 1 0 30 Jun 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks Nate Gruver Marc Finzi Samuel Stanton A. Wilson AI4CE 28 40 0 10 Feb 2022
A Differentiable Newton-Euler Algorithm for Real-World Robotics M. Lutter Vallijah Subasri Joe Watson Frank Rudzicz 29 7 0 24 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 45 39 0 05 Oct 2021
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters OffRL 29 33 0 03 Nov 2020
A Differentiable Newton Euler Algorithm for Multi-body Model Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters 21 11 0 19 Oct 2020
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics Manuel A. Roehrl Thomas Runkler Veronika Brandtstetter Michel Tokic Stefan Obermayer PINN 24 77 0 29 May 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 139 425 0 10 Mar 2020
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN AI4CE 34 78 0 20 Feb 2020
Linearly Constrained Neural Networks J. Hendriks Carl Jidling A. Wills Thomas B. Schon 21 34 0 05 Feb 2020
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN 54 269 0 26 Sep 2019