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David Millard
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NeuralSim: Augmenting differentiable simulators with neural networks
E Heiden, D Millard, E Coumans, Y Sheng, GS Sukhatme
2021 IEEE International Conference on Robotics and Automation (ICRA), 9474-9481, 2021
1332021
Interactive differentiable simulation
E Heiden, D Millard, H Zhang, GS Sukhatme
arXiv preprint arXiv:1905.10706, 2019
492019
Probabilistic inference of simulation parameters via parallel differentiable simulation
E Heiden, CE Denniston, D Millard, F Ramos, GS Sukhatme
2022 International Conference on Robotics and Automation (ICRA), 3638-3645, 2022
152022
Augmenting differentiable simulators with neural networks to close the sim2real gap
E Heiden, D Millard, E Coumans, GS Sukhatme
arXiv preprint arXiv:2007.06045, 2020
142020
Tracking fast trajectories with a deformable object using a learned model
JA Preiss, D Millard, T Yao, GS Sukhatme
2022 International Conference on Robotics and Automation (ICRA), 1351-1357, 2022
102022
Real2sim transfer using differentiable physics
E Heiden, D Millard, G Sukhatme
Workshop on Closing the Reality Gap in Sim2real Transfer for Robotic …, 2019
92019
Automatic differentiation and continuous sensitivity analysis of rigid body dynamics
D Millard, E Heiden, S Agrawal, GS Sukhatme
arXiv preprint arXiv:2001.08539, 2020
82020
Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials
D Millard, D Pastor, J Bowkett, P Backes, GS Sukhatme
arXiv preprint arXiv:2306.01369, 2023
12023
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning
J Morgan, D Millard, GS Sukhatme
arXiv preprint arXiv:2309.09102, 2023
2023
Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks
D Millard, JA Preiss, J Barbič, GS Sukhatme
The International Symposium of Robotics Research, 239-251, 2022
2022
Sparse-Input Neural Network Augmentations for Differentiable Simulators
E Heiden, D Millard, E Coumans, GS Sukhatme
Vacuum 100, 120, 2020
2020
Deep Recurrent Models for Nonlinear Model Predictive Control in Deformable Manipulation Tasks
JA Preiss, D Millard, T Yao, GS Sukhatme
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Articles 1–12