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David Millard

Affiliations:
  • University of Southern California, Department of Computer Science, Los Angeles, USA


According to our database1, David Millard authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning.
[BibTeX]
[DOI]
Jeremy Morgan
,
David Millard
,
Gaurav S. Sukhatme
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials.
[BibTeX]
[DOI]
David Millard
,
Daniel Pastor
,
Joseph Bowkett
,
Paul Backes
,
Gaurav S. Sukhatme
CoRR, 2023

GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials.
[BibTeX]
[DOI]
David Millard
,
Daniel Pastor
,
Joseph Bowkett
,
Paul Backes
,
Gaurav S. Sukhatme
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022
Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks.
[BibTeX]
[DOI]
David Millard
,
James A. Preiss
,
Jernej Barbic
,
Gaurav S. Sukhatme
Proceedings of the Robotics Research, 2022

Tracking Fast Trajectories with a Deformable Object using a Learned Model.
[BibTeX]
[DOI]
James A. Preiss
,
David Millard
,
Tao Yao
,
Gaurav S. Sukhatme
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation.
[BibTeX]
[DOI]
Eric Heiden
,
Christopher E. Denniston
,
David Millard
,
Fabio Ramos
,
Gaurav S. Sukhatme
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
NeuralSim: Augmenting Differentiable Simulators with Neural Networks.
[BibTeX]
[DOI]
Eric Heiden
,
David Millard
,
Erwin Coumans
,
Yizhou Sheng
,
Gaurav S. Sukhatme
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap.
[BibTeX]
[DOI]
Eric Heiden
,
David Millard
,
Erwin Coumans
,
Gaurav S. Sukhatme
CoRR, 2020

Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics.
[BibTeX]
[DOI]
David Millard
,
Eric Heiden
,
Shubham Agrawal
,
Gaurav S. Sukhatme
CoRR, 2020

2019
Interactive Differentiable Simulation.
[BibTeX]
[DOI]
Eric Heiden
,
David Millard
,
Hejia Zhang
,
Gaurav S. Sukhatme
CoRR, 2019


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