| NeuralSim: Augmenting differentiable simulators with neural networks E Heiden, D Millard, E Coumans, Y Sheng, GS Sukhatme 2021 IEEE International Conference on Robotics and Automation (ICRA), 9474-9481, 2021 | 143 | 2021 |
| Interactive differentiable simulation E Heiden, D Millard, H Zhang, GS Sukhatme arXiv preprint arXiv:1905.10706, 2019 | 47 | 2019 |
| Probabilistic inference of simulation parameters via parallel differentiable simulation E Heiden, CE Denniston, D Millard, F Ramos, GS Sukhatme 2022 International Conference on Robotics and Automation (ICRA), 3638-3645, 2022 | 17 | 2022 |
| Augmenting differentiable simulators with neural networks to close the sim2real gap E Heiden, D Millard, E Coumans, GS Sukhatme arXiv preprint arXiv:2007.06045, 2020 | 16 | 2020 |
| Tracking fast trajectories with a deformable object using a learned model JA Preiss, D Millard, T Yao, GS Sukhatme 2022 International Conference on Robotics and Automation (ICRA), 1351-1357, 2022 | 10 | 2022 |
| Real2sim transfer using differentiable physics E Heiden, D Millard, G Sukhatme Workshop on Closing the Reality Gap in Sim2real Transfer for Robotic …, 2019 | 9 | 2019 |
| Automatic differentiation and continuous sensitivity analysis of rigid body dynamics D Millard, E Heiden, S Agrawal, GS Sukhatme arXiv preprint arXiv:2001.08539, 2020 | 8 | 2020 |
| CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning J Morgan, D Millard, GS Sukhatme arXiv preprint arXiv:2309.09102, 2023 | 1 | 2023 |
| Granular Gym: High Performance Simulation for Robotic Tasks with Granular Materials D Millard, D Pastor, J Bowkett, P Backes, GS Sukhatme arXiv preprint arXiv:2306.01369, 2023 | 1 | 2023 |
| Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks D Millard, JA Preiss, J Barbič, GS Sukhatme The International Symposium of Robotics Research, 239-251, 2022 | | 2022 |
| Sparse-Input Neural Network Augmentations for Differentiable Simulators E Heiden, D Millard, E Coumans, GS Sukhatme Vacuum 100, 120, 2020 | | 2020 |
| Deep Recurrent Models for Nonlinear Model Predictive Control in Deformable Manipulation Tasks JA Preiss, D Millard, T Yao, GS Sukhatme | | |
Gaurav SukhatmeProfessor, Departments of CS and ECE, USC在 usc.edu 的电子邮件经过验证
