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

David Millard 0001 University of Southern California, Department of Computer Science, Los Angeles, USA David Millard W. David Millard David Millard 0002 Pacific Northwest National Laboratory, Richland, WA, USA David Millard 0003 Rochester Institute of Technology, NY, USA Jeremy Morgan David Millard 0001 Gaurav S. Sukhatme CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning. 12279-12785 2024 ICRA https://doi.org/10.1109/ICRA57147.2024.10611724 conf/icra/2024 db/conf/icra/icra2024.html#Morgan0S24 David Millard 0001 Daniel Pastor 0001 Joseph Bowkett Paul Backes Gaurav S. Sukhatme GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials. 2023 Robotics: Science and Systems https://doi.org/10.15607/RSS.2023.XIX.034 conf/rss/2023 db/conf/rss/rss2023.html#0001PBBS23

David Millard 0001 Daniel Pastor 0001 Joseph Bowkett Paul Backes Gaurav S. Sukhatme Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials. 2023 abs/2306.01369 CoRR https://doi.org/10.48550/arXiv.2306.01369 db/journals/corr/corr2306.html#abs-2306-01369

Jeremy Morgan David Millard 0001 Gaurav S. Sukhatme CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning. 2023 abs/2309.09102 CoRR https://doi.org/10.48550/arXiv.2309.09102 db/journals/corr/corr2309.html#abs-2309-09102

James A. Preiss David Millard 0001 Tao Yao Gaurav S. Sukhatme Tracking Fast Trajectories with a Deformable Object using a Learned Model. 1351-1357 2022 ICRA https://doi.org/10.1109/ICRA46639.2022.9812189 conf/icra/2022 db/conf/icra/icra2022.html#Preiss0YS22 Eric Heiden Christopher E. Denniston David Millard 0001 Fabio Ramos 0001 Gaurav S. Sukhatme Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. 3638-3645 2022 ICRA https://doi.org/10.1109/ICRA46639.2022.9812293 conf/icra/2022 db/conf/icra/icra2022.html#HeidenD0RS22 David Millard 0001 James A. Preiss Jernej Barbic Gaurav S. Sukhatme Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks. 239-251 2022 ISRR https://doi.org/10.1007/978-3-031-25555-7_16 conf/isrr/2022 db/conf/isrr/isrr2022.html#0001PBS22 Eric Heiden David Millard 0001 Erwin Coumans Yizhou Sheng Gaurav S. Sukhatme NeuralSim: Augmenting Differentiable Simulators with Neural Networks. 9474-9481 2021 ICRA https://doi.org/10.1109/ICRA48506.2021.9560935 conf/icra/2021 db/conf/icra/icra2021.html#HeidenMCSS21

Eric Heiden Christopher E. Denniston David Millard 0001 Fabio Ramos 0001 Gaurav S. Sukhatme Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. 2021 abs/2109.08815 CoRR https://arxiv.org/abs/2109.08815 db/journals/corr/corr2109.html#abs-2109-08815

David Millard 0001 Eric Heiden Shubham Agrawal Gaurav S. Sukhatme Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics. 2020 abs/2001.08539 CoRR https://arxiv.org/abs/2001.08539 db/journals/corr/corr2001.html#abs-2001-08539

Eric Heiden David Millard 0001 Erwin Coumans Gaurav S. Sukhatme Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap. 2020 abs/2007.06045 CoRR https://arxiv.org/abs/2007.06045 db/journals/corr/corr2007.html#abs-2007-06045

Eric Heiden David Millard 0001 Erwin Coumans Yizhou Sheng Gaurav S. Sukhatme NeuralSim: Augmenting Differentiable Simulators with Neural Networks. 2020 abs/2011.04217 CoRR https://arxiv.org/abs/2011.04217 db/journals/corr/corr2011.html#abs-2011-04217

Eric Heiden David Millard 0001 Hejia Zhang Gaurav S. Sukhatme Interactive Differentiable Simulation. 2019 abs/1905.10706 CoRR http://arxiv.org/abs/1905.10706 db/journals/corr/corr1905.html#abs-1905-10706

Shubham Agrawal Paul Backes Jernej Barbic Joseph Bowkett Erwin Coumans Chris DennistonChristopher E. Denniston Eric Heiden Jeremy Morgan Daniel Pastor 0001 James A. Preiss Fabio Ramos 0001 Yizhou Sheng Gaurav S. Sukhatme Tao Yao Hejia Zhang