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Pseudo-rigid body networks: learning interpretable deformable object
  dynamics from partial observations

Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations

16 July 2023
Shamil Mamedov
A. R. Geist
Jan Swevers
Sebastian Trimpe
    AI4CE
ArXivPDFHTML

Papers citing "Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations"

4 / 4 papers shown
Title
Learning deformable linear object dynamics from a single trajectory
Learning deformable linear object dynamics from a single trajectory
Shamil Mamedov
A. R. Geist
Ruan Viljoen
Sebastian Trimpe
Jan Swevers
PINN
AI4CE
28
1
0
03 Jul 2024
Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects
Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects
Yizhou Chen
Yiting Zhang
Zachary Brei
Tiancheng Zhang
Yuzhen Chen
Julie Wu
Ram Vasudevan
AI4CE
37
5
0
09 Jun 2024
Combining Physics and Deep Learning to learn Continuous-Time Dynamics
  Models
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINN
AI4CE
31
39
0
05 Oct 2021
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
127
422
0
10 Mar 2020
1