David Millard | DeepAI

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Featured Co-authors

Fabio Ramos
73 publications
Gaurav S. Sukhatme
60 publications
Stavros Petridis
45 publications
Eric Heiden
17 publications
Erwin Coumans
14 publications
Shubham Agrawal
13 publications
Hejia Zhang
12 publications
Christopher Denniston
10 publications
Dominika Woszczyk
5 publications
Daniel Pastor
4 publications
Joseph Bowkett
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∙ 09/16/2023

CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning

In this work we present CppFlow - a novel and performant planner for the...

0 Jeremy Morgan, et al. ∙

∙ 06/02/2023

Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials

Granular materials are of critical interest to many robotic tasks in pla...

0 David Millard, et al. ∙

∙ 09/18/2021

Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation

To accurately reproduce measurements from the real world, simulators nee...

0 Eric Heiden, et al. ∙

∙ 11/09/2020

NeuralSim: Augmenting Differentiable Simulators with Neural Networks

Differentiable simulators provide an avenue for closing the sim-to-real ...

0 Eric Heiden, et al. ∙

∙ 10/07/2020

Domain Adversarial Neural Networks for Dysarthric Speech Recognition

Speech recognition systems have improved dramatically over the last few ...

0 Dominika Woszczyk, et al. ∙

∙ 07/12/2020

Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap

We present a differentiable simulation architecture for articulated rigi...

0 Eric Heiden, et al. ∙

∙ 01/22/2020

Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics

A key ingredient to achieving intelligent behavior is physical understan...

0 David Millard, et al. ∙

∙ 05/26/2019

Interactive Differentiable Simulation

Intelligent agents need a physical understanding of the world to predict...

0 Eric Heiden, et al. ∙

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