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Lie Group Forced Variational Integrator Networks for Learning and
  Control of Robot Systems

Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems

29 November 2022
Valentin Duruisseaux
T. Duong
Melvin Leok
Nikolay Atanasov
    DRL
    AI4CE
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Papers citing "Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems"

10 / 10 papers shown
Title
Modular Robot Control with Motor Primitives
Modular Robot Control with Motor Primitives
Moses C. Nah
Johannes Lachner
Neville Hogan
12
0
0
15 May 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Y. Yang
Xiao Lin
Zhipeng Zhao
SSL
86
9
0
28 Jan 2025
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation
Taimeng Fu
Zitong Zhan
Zhipeng Zhao
Shaoshu Su
Xiao Lin
Ehsan Esfahani
Karthik Dantu
Souma Chowdhury
Chen Wang
88
1
0
22 Jan 2025
Projected Neural Differential Equations for Learning Constrained
  Dynamics
Projected Neural Differential Equations for Learning Constrained Dynamics
Alistair J R White
Anna Buttner
Maximilian Gelbrecht
Valentin Duruisseaux
Niki Kilbertus
Frank Hellmann
Niklas Boers
41
0
0
31 Oct 2024
PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction
  in Off-road Driving
PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving
Zhipeng Zhao
Bowen Li
Yi Du
Taimeng Fu
Chen Wang
27
6
0
02 Apr 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics
  Learning and Control
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control
T. Duong
Abdullah Altawaitan
Jason Stanley
Nikolay Atanasov
28
10
0
17 Jan 2024
Hamiltonian Dynamics Learning from Point Cloud Observations for
  Nonholonomic Mobile Robot Control
Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
Abdullah Altawaitan
Jason Stanley
Sambaran Ghosal
T. Duong
Nikolay Atanasov
27
1
0
17 Sep 2023
Approximation of nearly-periodic symplectic maps via
  structure-preserving neural networks
Approximation of nearly-periodic symplectic maps via structure-preserving neural networks
Valentin Duruisseaux
J. Burby
Q. Tang
30
11
0
11 Oct 2022
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
130
424
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
146
220
0
29 Sep 2019
1