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 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning.
CoRR, 2023

Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials.
CoRR, 2023

GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022
Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks.
Proceedings of the Robotics Research, 2022

Tracking Fast Trajectories with a Deformable Object using a Learned Model.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
NeuralSim: Augmenting Differentiable Simulators with Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap.
CoRR, 2020

Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics.
CoRR, 2020

2019
Interactive Differentiable Simulation.
CoRR, 2019


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