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Pseudo-rigid body networks: learning interpretable deformable object
  dynamics from partial observations
v1v2v3 (latest)

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

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
16 July 2023
Shamil Mamedov
A. R. Geist
Jan Swevers
Sebastian Trimpe
    AI4CE
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
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
PINNAI4CE
219
3
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 ObjectsConference on Robot Learning (CoRL), 2024
Yizhou Chen
Yiting Zhang
Zachary Brei
Tiancheng Zhang
Yuzhen Chen
Julie Wu
Ram Vasudevan
AI4CE
356
13
0
09 Jun 2024
1