Isaac gym: High performance gpu-based physics simulation for robot learning V Makoviychuk, L Wawrzyniak, Y Guo, M Lu, K Storey, M Macklin, ... arXiv preprint arXiv:2108.10470, 2021 | 891* | 2021 |
Closing the sim-to-real loop: Adapting simulation randomization with real world experience Y Chebotar, A Handa, V Makoviychuk, M Macklin, J Issac, N Ratliff, D Fox 2019 International Conference on Robotics and Automation (ICRA), 8973-8979, 2019 | 618 | 2019 |
Unified particle physics for real-time applications M Macklin, M Müller, N Chentanez, TY Kim ACM Transactions on Graphics (TOG) 33 (4), 1-12, 2014 | 604 | 2014 |
Position based fluids M Macklin, M Müller ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013 | 596 | 2013 |
XPBD: position-based simulation of compliant constrained dynamics M Macklin, M Müller, N Chentanez Proceedings of the 9th International Conference on Motion in Games, 49-54, 2016 | 328 | 2016 |
A survey on position‐based simulation methods in computer graphics J Bender, M Müller, MA Otaduy, M Teschner, M Macklin Computer graphics forum 33 (6), 228-251, 2014 | 244 | 2014 |
Gpu-accelerated robotic simulation for distributed reinforcement learning J Liang, V Makoviychuk, A Handa, N Chentanez, M Macklin, D Fox Conference on Robot Learning, 270-282, 2018 | 174 | 2018 |
Position-Based Simulation Methods in Computer Graphics. J Bender, M Müller, M Macklin Eurographics (tutorials), 8, 2015 | 138 | 2015 |
A survey on position based dynamics, 2017 J Bender, M Müller, M Macklin Proceedings of the European Association for Computer Graphics: Tutorials, 1-31, 2017 | 107 | 2017 |
gradsim: Differentiable simulation for system identification and visuomotor control KM Jatavallabhula, M Macklin, F Golemo, V Voleti, L Petrini, M Weiss, ... arXiv preprint arXiv:2104.02646, 2021 | 104 | 2021 |
Physics-based motion capture imitation with deep reinforcement learning N Chentanez, M Müller, M Macklin, V Makoviychuk, S Jeschke Proceedings of the 11th ACM SIGGRAPH Conference on Motion, Interaction and …, 2018 | 99 | 2018 |
Disect: A differentiable simulation engine for autonomous robotic cutting E Heiden, M Macklin, Y Narang, D Fox, A Garg, F Ramos arXiv preprint arXiv:2105.12244, 2021 | 93 | 2021 |
Air meshes for robust collision handling M Müller, N Chentanez, TY Kim, M Macklin ACM Transactions on Graphics (ToG) 34 (4), 1-9, 2015 | 92 | 2015 |
Non-smooth newton methods for deformable multi-body dynamics M Macklin, K Erleben, M Müller, N Chentanez, S Jeschke, V Makoviychuk ACM Transactions on Graphics (TOG) 38 (5), 1-20, 2019 | 88 | 2019 |
Accelerated policy learning with parallel differentiable simulation J Xu, V Makoviychuk, Y Narang, F Ramos, W Matusik, A Garg, M Macklin arXiv preprint arXiv:2204.07137, 2022 | 85 | 2022 |
Local optimization for robust signed distance field collision M Macklin, K Erleben, M Müller, N Chentanez, S Jeschke, Z Corse Proceedings of the ACM on Computer Graphics and Interactive Techniques 3 (1 …, 2020 | 77 | 2020 |
Warp: A high-performance python framework for gpu simulation and graphics M Macklin NVIDIA GPU Technology Conference (GTC), 2022 | 66 | 2022 |
Small steps in physics simulation M Macklin, K Storey, M Lu, P Terdiman, N Chentanez, S Jeschke, ... Proceedings of the 18th annual ACM siggraph/eurographics symposium on …, 2019 | 63 | 2019 |
Sim-to-real for robotic tactile sensing via physics-based simulation and learned latent projections Y Narang, B Sundaralingam, M Macklin, A Mousavian, D Fox 2021 IEEE International Conference on Robotics and Automation (ICRA), 6444-6451, 2021 | 62 | 2021 |
Factory: Fast contact for robotic assembly Y Narang, K Storey, I Akinola, M Macklin, P Reist, L Wawrzyniak, Y Guo, ... arXiv preprint arXiv:2205.03532, 2022 | 56 | 2022 |