| Towards human-level bimanual dexterous manipulation with reinforcement learning Y Chen, T Wu, S Wang, X Feng, J Jiang, Z Lu, S McAleer, H Dong, ... Advances in Neural Information Processing Systems 35, 5150-5163, 2022 | 60 | 2022 |
| Vat-mart: Learning visual action trajectory proposals for manipulating 3d articulated objects R Wu, Y Zhao, K Mo, Z Guo, Y Wang, T Wu, Q Fan, X Chen, L Guibas, ... arXiv preprint arXiv:2106.14440, 2021 | 58 | 2021 |
| Domain randomization-enhanced depth simulation and restoration for perceiving and grasping specular and transparent objects Q Dai, J Zhang, Q Li, T Wu, H Dong, Z Liu, P Tan, H Wang European Conference on Computer Vision, 374-391, 2022 | 24 | 2022 |
| Roboassembly: Learning generalizable furniture assembly policy in a novel multi-robot contact-rich simulation environment M Yu, L Shao, Z Chen, T Wu, Q Fan, K Mo, H Dong arXiv preprint arXiv:2112.10143, 2021 | 14 | 2021 |
| Grasparl: Dynamic grasping via adversarial reinforcement learning T Wu, F Zhong, Y Geng, H Wang, Y Zhu, Y Wang, H Dong arXiv preprint arXiv:2203.02119, 2022 | 8 | 2022 |
| Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping T Wu, M Wu, J Zhang, Y Gan, H Dong Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| UniDexFPM: Universal Dexterous Functional Pre-grasp Manipulation Via Diffusion Policy T Wu, Y Gan, M Wu, J Cheng, Y Yang, Y Zhu, H Dong arXiv preprint arXiv:2403.12421, 2024 | | 2024 |
| GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping T Wu, M Wu, J Zhang, Y Gan, H Dong arXiv e-prints, arXiv: 2309.06038, 2023 | | 2023 |
