| Open X-Embodiment: Robotic Learning Datasets and RT-X Models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 94* | 2023 |
| Graspness Discovery in Clutters for Fast and Accurate Grasp Detection C Wang, HS Fang, M Gou, H Fang, J Gao, C Lu IEEE/CVF International Conference on Computer Vision (ICCV), 15964-15973, 2021 | 54 | 2021 |
| TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline H Fang, HS Fang, S Xu, C Lu IEEE Robotics and Automation Letters (RA-L) 7 (3), 7383-7390, 2022 | 51 | 2022 |
| AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains HS Fang, C Wang, H Fang, M Gou, J Liu, H Yan, W Liu, Y Xie, C Lu IEEE Transactions on Robotics (T-RO), 2023 | 50 | 2023 |
| RH20T: A Robotic Dataset for Learning Diverse Skills in One-Shot HS Fang, H Fang, Z Tang, J Liu, J Wang, H Zhu, C Lu arXiv preprint arXiv:2307.00595, 2023 | 23* | 2023 |
| AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild H Fang, HS Fang, Y Wang, J Ren, J Chen, R Zhang, W Wang, C Lu arXiv preprint arXiv:2309.14975, 2023 | 9 | 2023 |
| Target-Referenced Reactive Grasping for Dynamic Objects J Liu, R Zhang, HS Fang, M Gou, H Fang, C Wang, S Xu, H Yan, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 5 | 2023 |
| Flexible Handover with Real-Time Robust Dynamic Grasp Trajectory Generation G Zhang, HS Fang, H Fang, C Lu IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2023 | 2 | 2023 |
| RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective C Wang, H Fang, HS Fang, C Lu arXiv preprint arXiv:2404.12281, 2024 | | 2024 |
Hao-Shu FangMassachusetts Institute of TechnologyVerified email at mit.edu
