Diffusion Policy: Visuomotor Policy Learning via Action Diffusion C Chi, S Feng, Y Du, Z Xu, E Cousineau, B Burchfiel, S Song arXiv preprint arXiv:2303.04137, 2023 | 788* | 2023 |
Robots that ask for help: Uncertainty alignment for large language model planners AZ Ren, A Dixit, A Bodrova, S Singh, S Tu, N Brown, P Xu, L Takayama, ... arXiv preprint arXiv:2307.01928, 2023 | 192 | 2023 |
Densephysnet: Learning dense physical object representations via multi-step dynamic interactions Z Xu, J Wu, A Zeng, JB Tenenbaum, S Song Robotics: Science and Systems (RSS), 2019 | 114 | 2019 |
Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots C Chi, Z Xu, C Pan, E Cousineau, B Burchfiel, S Feng, R Tedrake, S Song arXiv preprint arXiv:2402.10329, 2024 | 106 | 2024 |
Unsupervised Discovery of Parts, Structure, and Dynamics Z Xu, Z Liu, C Sun, K Murphy, WT Freeman, JB Tenenbaum, J Wu International Conference on Learning Representations (ICLR), 2019 | 100* | 2019 |
UMPNet: Universal Manipulation Policy Network for Articulated Objects Z Xu, Z He, S Song IEEE Robotics and Automation Letters 7 (2), 2447-2454, 2022 | 87 | 2022 |
Learning 3D Dynamic Scene Representations for Robot Manipulation Z Xu, Z He, J Wu, S Song Conference on Robot Learning (CoRL), 2020 | 58 | 2020 |
DextAIRity: Deformable Manipulation Can be a Breeze Z Xu, C Chi, B Burchfiel, E Cousineau, S Feng, S Song Robotics: Science and Systems (RSS), 2022 | 56 | 2022 |
Xskill: Cross embodiment skill discovery M Xu, Z Xu, C Chi, M Veloso, S Song Conference on Robot Learning, 3536-3555, 2023 | 47 | 2023 |
Fluidlab: A differentiable environment for benchmarking complex fluid manipulation Z Xian, B Zhu, Z Xu, HY Tung, A Torralba, K Fragkiadaki, C Gan International Conference on Learning Representations (ICLR), 2023 | 47 | 2023 |
AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy Z Xu, B Qi, S Agrawal, S Song IEEE international conference on robotics and automation (ICRA), 2021 | 47 | 2021 |
Roboninja: Learning an adaptive cutting policy for multi-material objects Z Xu, Z Xian, X Lin, C Chi, Z Huang, C Gan, S Song Robotics: Science and Systems (RSS), 2023 | 26 | 2023 |
Flow as the cross-domain manipulation interface M Xu, Z Xu, Y Xu, C Chi, G Wetzstein, M Veloso, S Song arXiv preprint arXiv:2407.15208, 2024 | 15 | 2024 |
Towards generalist robots: A promising paradigm via generative simulation Z Xian, T Gervet, Z Xu, YL Qiao, TH Wang, Y Wang arXiv preprint arXiv:2305.10455, 2023 | 12* | 2023 |
Dexmimicgen: Automated data generation for bimanual dexterous manipulation via imitation learning Z Jiang, Y Xie, K Lin, Z Xu, W Wan, A Mandlekar, L Fan, Y Zhu arXiv preprint arXiv:2410.24185, 2024 | 3 | 2024 |
Hover: Versatile neural whole-body controller for humanoid robots T He, W Xiao, T Lin, Z Luo, Z Xu, Z Jiang, J Kautz, C Liu, G Shi, X Wang, ... arXiv preprint arXiv:2410.21229, 2024 | 3 | 2024 |
Doughnet: A visual predictive model for topological manipulation of deformable objects D Bauer, Z Xu, S Song European Conference on Computer Vision, 92-108, 2024 | 3 | 2024 |
One-step diffusion policy: Fast visuomotor policies via diffusion distillation Z Wang, Z Li, A Mandlekar, Z Xu, J Fan, Y Narang, L Fan, Y Zhu, Y Balaji, ... arXiv preprint arXiv:2410.21257, 2024 | 2 | 2024 |
Systems and methods for deformable object manipulation using air Z Xu, C Chi, B Burchfiel, E Cousineau, S Feng, S Song US Patent App. 18/167,584, 2023 | 1 | 2023 |
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment Z Liu, Z Xu, S Song Conference on Robot Learning (CoRL), 2022 | 1 | 2022 |