| Pybullet, a python module for physics simulation for games, robotics and machine learning E Coumans, Y Bai | 343 | 2016 |
| 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 | 338 | 2018 |
| 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 | 264 | 2018 |
| Dexterous Manipulation Using Both Palm and Fingers Y Bai, CK Liu Robotics and Automation (ICRA), 2014 IEEE International Conference on, 1560-1565, 2014 | 59 | 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 | 49 | 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), 1-9, 2018 | 43 | 2018 |
| Human motion reconstruction from force sensors S Ha, Y Bai, CK Liu Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer …, 2011 | 39 | 2011 |
| Synthesis of concurrent object manipulation tasks Y Bai, K Siu, CK Liu ACM Transactions on Graphics (TOG) 31 (6), 1-9, 2012 | 28 | 2012 |
| Dexterous manipulation of cloth Y Bai, W Yu, CK Liu Computer Graphics Forum 35 (2), 523-532, 2016 | 23 | 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 | 20 | 2016 |
| Online object representations with contrastive learning S Pirk, M Khansari, Y Bai, C Lynch, P Sermanet arXiv preprint arXiv:1906.04312, 2019 | 12 | 2019 |
| 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 | 9 | 2020 |
| 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 | 9 | 2019 |
| 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 | 8 | 2019 |
| Self-adaptive blind super-resolution image reconstruction Y Bai, J Hu, Y Luo 2010 3rd International Congress on Image and Signal Processing 3, 1208-1212, 2010 | 6 | 2010 |
| Coupling Cloth and Rigid Bodies for Dexterous Manipulation Y Bai, CK Liu ACM SIGGRAPH Conference on Motion in Games, 139-145, 2014 | 5 | 2014 |
| 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 | 2 | 2020 |
| RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer D Ho, K Rao, Z Xu, E Jang, M Khansari, Y Bai arXiv preprint arXiv:2011.03148, 2020 | 1 | 2020 |
| 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 | | 2020 |
| Robotic control based on 3d bounding shape, for an object, generated using edge-depth values for the object Y Bai, Y Gong US Patent App. 16/424,363, 2020 | | 2020 |
