Miles Macklin
Miles Macklin
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Cited by
Cited by
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
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
Position based fluids
M Macklin, M Müller
ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013
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
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
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
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
Position-Based Simulation Methods in Computer Graphics.
J Bender, M Müller, M Macklin
Eurographics (tutorials), 8, 2015
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
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
Air meshes for robust collision handling
M Müller, N Chentanez, TY Kim, M Macklin
ACM Transactions on Graphics (ToG) 34 (4), 1-9, 2015
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
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
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
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
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
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
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
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
Warp: A high-performance python framework for gpu simulation and graphics
M Macklin
NVIDIA GPU Technology Conference (GTC), 2022
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