| 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 | 798* | 2021 |
| 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 | 594 | 2014 |
| 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 | 590 | 2019 |
| Position based fluids M Macklin, M Müller ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013 | 584 | 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 | 303 | 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 | 241 | 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 | 163 | 2018 |
| Position-Based Simulation Methods in Computer Graphics. J Bender, M Müller, M Macklin Eurographics (tutorials), 8, 2015 | 137 | 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 | 101 | 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 | 99 | 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 | 94 | 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 | 91 | 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 | 91 | 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 | 86 | 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 | 78 | 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 | 73 | 2020 |
| 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 | 57 | 2019 |
| Warp: A high-performance python framework for gpu simulation and graphics M Macklin NVIDIA GPU Technology Conference (GTC), 2022 | 55 | 2022 |
| 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 | 54 | 2021 |
| Detailed rigid body simulation with extended position based dynamics M Müller, M Macklin, N Chentanez, S Jeschke, TY Kim Computer Graphics Forum 39 (8), 101-112, 2020 | 52 | 2020 |
Matthias Müller-FischerPrincipal Engineer at NVIDIAΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mueller-fischer.com
