| Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation Y Chen, Y Geng, F Zhong, J Ji, J Jiang, Z Lu, H Dong, Y Yang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 62* | 2023 |
| Rlafford: End-to-end affordance learning for robotic manipulation Y Geng, B An, H Geng, Y Chen, Y Yang, H Dong 2023 IEEE International Conference on Robotics and Automation (ICRA), 5880-5886, 2023 | 31* | 2023 |
| Safe multi-agent reinforcement learning for multi-robot control S Gu, JG Kuba, Y Chen, Y Du, L Yang, A Knoll, Y Yang Artificial Intelligence 319, 103905, 2023 | 17 | 2023 |
| Dynamic handover: Throw and catch with bimanual hands B Huang, Y Chen, T Wang, Y Qin, Y Yang, N Atanasov, X Wang arXiv preprint arXiv:2309.05655, 2023 | 10 | 2023 |
| Sequential dexterity: Chaining dexterous policies for long-horizon manipulation Y Chen, C Wang, L Fei-Fei, CK Liu arXiv preprint arXiv:2309.00987, 2023 | 10 | 2023 |
| Learning a universal human prior for dexterous manipulation from human preference Z Ding, Y Chen, AZ Ren, SS Gu, Q Wang, H Dong, C Jin arXiv preprint arXiv:2304.04602, 2023 | 6 | 2023 |
| Zero-shot sim-to-real transfer of reinforcement learning framework for robotics manipulation with demonstration and force feedback Y Chen, C Zeng, Z Wang, P Lu, C Yang Robotica 41 (3), 1015-1024, 2023 | 3 | 2023 |
| ReDMan: Reliable Dexterous Manipulation with Safe Reinforcement Learning Y Geng, J Ji, Y Chen, H Geng, F Zhong, Y Yang | | |
