| Pybullet, a python module for physics simulation for games, robotics and machine learning E Coumans, Y Bai https://docs.google.com/document/d …, 2016 | 1575 | 2016 |
| Sim-to-real: Learning agile locomotion for quadruped robots J Tan, T Zhang, E Coumans, A Iscen, Y Bai, D Hafner, S Bohez, ... arXiv preprint arXiv:1804.10332, 2018 | 740 | 2018 |
| Bullet physics simulation E Coumans ACM SIGGRAPH 2015 Courses, 1, 2015 | 654* | 2015 |
| Learning agile robotic locomotion skills by imitating animals XB Peng, E Coumans, T Zhang, TW Lee, J Tan, S Levine arXiv preprint arXiv:2004.00784, 2020 | 387 | 2020 |
| Interactive Simulation of Rigid Body Dynamics in Computer Graphics E Coumans, J Bender, K Erleben, J Trinkle Eurographics 2012 State of the Art Reports, 2012 | 239* | 2012 |
| Learning to rearrange deformable cables, fabrics, and bags with goal-conditioned transporter networks D Seita, P Florence, J Tompson, E Coumans, V Sindhwani, K Goldberg, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 4568-4575, 2021 | 136 | 2021 |
| 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 | 127 | 2021 |
| Policies modulating trajectory generators A Iscen, K Caluwaerts, J Tan, T Zhang, E Coumans, V Sindhwani, ... Conference on Robot Learning, 916-926, 2018 | 112 | 2018 |
| Learning fast adaptation with meta strategy optimization W Yu, J Tan, Y Bai, E Coumans, S Ha IEEE Robotics and Automation Letters 5 (2), 2950-2957, 2020 | 80 | 2020 |
| Fast and efficient locomotion via learned gait transitions Y Yang, T Zhang, E Coumans, J Tan, B Boots Conference on Robot Learning, 773-783, 2022 | 59 | 2022 |
| Visual-locomotion: Learning to walk on complex terrains with vision W Yu, D Jain, A Escontrela, A Iscen, P Xu, E Coumans, S Ha, J Tan, ... 5th Annual Conference on Robot Learning, 2021 | 49 | 2021 |
| Pybullet, a python module for physics simulation for games, robotics and machine learning.(2016) E Coumans, Y Bai URL http://pybullet. org, 2016 | 45 | 2016 |
| Bullet 2.80 physics SDK manual E Coumans URL: http://www. cs. uu. nl/docs/vakken/mgp/ass ignment/Bullet, 2012 | 38 | 2012 |
| Bullet physics E Coumans http://bulletphysics. org, 2005 | 23 | 2005 |
| Differentiable dynamics for articulated 3d human motion reconstruction E Gärtner, M Andriluka, E Coumans, C Sminchisescu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 18 | 2022 |
| COLLADA physics E Coumans, K Victor Proceedings of the twelfth international conference on 3D web technology …, 2007 | 16 | 2007 |
| 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 | 13 | 2020 |
| Optimizing simulations with noise-tolerant structured exploration K Choromanski, A Iscen, V Sindhwani, J Tan, E Coumans 2018 IEEE International Conference on Robotics and Automation (ICRA), 2970-2977, 2018 | 13 | 2018 |
| PyBullet quickstart guide E Coumans, Y Bai 2023-02-01]. https://usermanual. wiki/Doc-ument/PyBullet20Quickstart20Guide …, 2021 | 11 | 2021 |
| Braxlines: Fast and interactive toolkit for rl-driven behavior engineering beyond reward maximization SS Gu, M Diaz, DC Freeman, H Furuta, SKS Ghasemipour, A Raichuk, ... arXiv preprint arXiv:2110.04686, 2021 | 10 | 2021 |
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