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| Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions Y Wang, R Wu, K Mo, J Ke, Q Fan, LJ Guibas, H Dong European conference on computer vision, 90-107, 2022 | 51 | 2022 |
| Robogen: Towards unleashing infinite data for automated robot learning via generative simulation Y Wang, Z Xian, F Chen, TH Wang, Y Wang, K Fragkiadaki, Z Erickson, ... arXiv preprint arXiv:2311.01455, 2023 | 38 | 2023 |
| Articulated object manipulation with coarse-to-fine affordance for mitigating the effect of point cloud noise S Ling, Y Wang, R Wu, S Wu, Y Zhuang, T Xu, Y Li, C Liu, H Dong 2024 IEEE International Conference on Robotics and Automation (ICRA), 10895 …, 2024 | 10 | 2024 |
| Multiply: A multisensory object-centric embodied large language model in 3d world Y Hong, Z Zheng, P Chen, Y Wang, J Li, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Towards a foundation model for generalist robots: Diverse skill learning at scale via automated task and scene generation Z Xian, T Gervet, Z Xu, YL Qiao, TH Wang arXiv preprint arXiv:2305.10455, 2023 | 7 | 2023 |
| Thin-Shell Object Manipulations With Differentiable Physics Simulations Y Wang, J Zheng, Z Chen, Z Xian, G Zhang, C Liu, C Gan arXiv preprint arXiv:2404.00451, 2024 | 2 | 2024 |
| Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators J Chen, Y Wang, X Qu, S Zheng, Y Yang, H Dong, J Fu arXiv preprint arXiv:2308.15116, 2023 | | 2023 |
