David Millard

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Inverse Kinematics

Motion Planning

Top Venues

Robotics: Science and Systems

Publications

Jeremy Morgan, David Millard, Gaurav S. Sukhatme
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning. ICRA (2024)
David Millard, Daniel Pastor, Joseph Bowkett, Paul Backes, Gaurav S. Sukhatme
Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials. CoRR (2023)
David Millard, Daniel Pastor, Joseph Bowkett, Paul Backes, Gaurav S. Sukhatme
GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials. Robotics: Science and Systems (2023)
Jeremy Morgan, David Millard, Gaurav S. Sukhatme
CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning. CoRR (2023)
James A. Preiss, David Millard, Tao Yao, Gaurav S. Sukhatme
Tracking Fast Trajectories with a Deformable Object using a Learned Model. ICRA (2022)
Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. ICRA (2022)
David Millard, James A. Preiss, Jernej Barbic, Gaurav S. Sukhatme
Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks. ISRR (2022)
Eric Heiden, David Millard, Erwin Coumans, Yizhou Sheng, Gaurav S. Sukhatme
NeuralSim: Augmenting Differentiable Simulators with Neural Networks. ICRA (2021)
Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. CoRR (2021)
Eric Heiden, David Millard, Erwin Coumans, Yizhou Sheng, Gaurav S. Sukhatme
NeuralSim: Augmenting Differentiable Simulators with Neural Networks. CoRR (2020)
David Millard, Eric Heiden, Shubham Agrawal, Gaurav S. Sukhatme
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics. CoRR (2020)
Eric Heiden, David Millard, Erwin Coumans, Gaurav S. Sukhatme
Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap. CoRR (2020)
Eric Heiden, David Millard, Hejia Zhang, Gaurav S. Sukhatme
Interactive Differentiable Simulation. CoRR (2019)