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Augmenting Differentiable Simulators with Neural Networks to Close the
  Sim2Real Gap

Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap

12 July 2020
Eric Heiden
David Millard
Erwin Coumans
Gaurav Sukhatme
ArXivPDFHTML

Papers citing "Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap"

5 / 5 papers shown
Title
On the Role of the Action Space in Robot Manipulation Learning and
  Sim-to-Real Transfer
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
Elie Aljalbout
Felix Frank
Maximilian Karl
Patrick van der Smagt
14
20
0
06 Dec 2023
Contact Points Discovery for Soft-Body Manipulations with Differentiable
  Physics
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Sizhe Li
Zhiao Huang
Tao Du
Hao Su
J. Tenenbaum
Chuang Gan
17
26
0
05 May 2022
A Differentiable Newton-Euler Algorithm for Real-World Robotics
A Differentiable Newton-Euler Algorithm for Real-World Robotics
M. Lutter
Vallijah Subasri
Joe Watson
Frank Rudzicz
22
7
0
24 Oct 2021
Follow the Gradient: Crossing the Reality Gap using Differentiable
  Physics (RealityGrad)
Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad)
J. Collins
Ross Brown
Jurgen Leitner
David Howard
AI4CE
24
4
0
10 Sep 2021
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
263
1,400
0
01 Dec 2016
1