| Pybullet, a python module for physics simulation for games, robotics and machine learning E Coumans, Y Bai | 2162 | 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 | 907 | 2018 |
| Using simulation and domain adaptation to improve efficiency of deep robotic grasping K Bousmalis, A Irpan, P Wohlhart, Y Bai, M Kelcey, M Kalakrishnan, ... 2018 IEEE international conference on robotics and automation (ICRA), 4243-4250, 2018 | 769 | 2018 |
| Learning 6-dof grasping interaction via deep geometry-aware 3d representations X Yan, J Hsu, M Khansari, Y Bai, A Pathak, A Gupta, J Davidson, H Lee 2018 IEEE International Conference on Robotics and Automation (ICRA), 3766-3773, 2018 | 141 | 2018 |
| Dexterous Manipulation Using Both Palm and Fingers Y Bai, CK Liu Robotics and Automation (ICRA), 2014 IEEE International Conference on, 1560-1565, 2014 | 131 | 2014 |
| Multi-task domain adaptation for deep learning of instance grasping from simulation K Fang, Y Bai, S Hinterstoisser, S Savarese, M Kalakrishnan 2018 IEEE International Conference on Robotics and Automation (ICRA), 3516-3523, 2018 | 130 | 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 | 107 | 2020 |
| Retinagan: An object-aware approach to sim-to-real transfer D Ho, K Rao, Z Xu, E Jang, M Khansari, Y Bai 2021 IEEE International Conference on Robotics and Automation (ICRA), 10920 …, 2021 | 97 | 2021 |
| Simgan: Hybrid simulator identification for domain adaptation via adversarial reinforcement learning Y Jiang, T Zhang, D Ho, Y Bai, CK Liu, S Levine, J Tan 2021 IEEE International Conference on Robotics and Automation (ICRA), 2884-2890, 2021 | 69 | 2021 |
| Watch, try, learn: Meta-learning from demonstrations and reward A Zhou, E Jang, D Kappler, A Herzog, M Khansari, P Wohlhart, Y Bai, ... arXiv preprint arXiv:1906.03352, 2019 | 63 | 2019 |
| Human motion reconstruction from force sensors S Ha, Y Bai, CK Liu Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer …, 2011 | 51 | 2011 |
| Dexterous manipulation of cloth Y Bai, W Yu, CK Liu Computer Graphics Forum 35 (2), 523-532, 2016 | 50 | 2016 |
| Artist-directed dynamics for 2D animation Y Bai, DM Kaufman, CK Liu, J Popović ACM Transactions on Graphics (TOG) 35 (4), 1-10, 2016 | 47* | 2016 |
| Online learning of object representations by appearance space feature alignment S Pirk, M Khansari, Y Bai, C Lynch, P Sermanet 2020 IEEE International Conference on Robotics and Automation (ICRA), 10473 …, 2020 | 46* | 2020 |
| Machine learning methods and apparatus for robotic manipulation and that utilize multi-task domain adaptation Y Bai, K Fang, S Hinterstoisser, M Kalakrishnan US Patent 10,773,382, 2020 | 42 | 2020 |
| Data-efficient learning for sim-to-real robotic grasping using deep point cloud prediction networks X Yan, M Khansari, J Hsu, Y Gong, Y Bai, S Pirk, H Lee arXiv preprint arXiv:1906.08989, 2019 | 37 | 2019 |
| Synthesis of concurrent object manipulation tasks Y Bai, K Siu, CK Liu ACM Transactions on Graphics (TOG) 31 (6), 1-9, 2012 | 36 | 2012 |
| Robotic grasping prediction using neural networks and geometry aware object representation J Davidson, X Yan, Y Bai, LEE Honglak, A Gupta, SMK Zadeh, A Pathak, ... US Patent 10,864,631, 2020 | 27 | 2020 |
| Deep rl at scale: Sorting waste in office buildings with a fleet of mobile manipulators A Herzog, K Rao, K Hausman, Y Lu, P Wohlhart, M Yan, J Lin, MG Arenas, ... arXiv preprint arXiv:2305.03270, 2023 | 26 | 2023 |
| Cocoi: contact-aware online context inference for generalizable non-planar pushing Z Xu, W Yu, A Herzog, W Lu, C Fu, M Tomizuka, Y Bai, CK Liu, D Ho 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 15 | 2021 |