| SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation X Lin, Y Wang, J Olkin, D Held Conference on Robot Learning (CoRL), 2020 | 173 | 2020 |
| Adaptive Auxiliary Task Weighting for Reinforcement Learning X Lin, H Baweja, G Kantor, D Held Advances in Neural Information Processing Systems (NeurIPS), 4772-4783, 2019 | 106 | 2019 |
| Learning Visible Connectivity Dynamics for Cloth Smoothing X Lin, Y Wang, D Held Conference on Robot Learning (CoRL), 2021 | 84 | 2021 |
| Diffskill: Skill abstraction from differentiable physics for deformable object manipulations with tools X Lin, Z Huang, Y Li, JB Tenenbaum, D Held, C Gan International Conference on Learning Representation (ICLR), 2022 | 41 | 2022 |
| Mesh-based dynamics with occlusion reasoning for cloth manipulation Z Huang, X Lin, D Held Robotics Science and System (RSS), 2022 | 34 | 2022 |
| Reinforcement Learning without Ground-Truth State X Lin, HS Baweja, D Held Workshop on Multi-Task and Lifelong Reinforcement Learning (ICML), 2019 | 26 | 2019 |
| Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation X Lin, C Qi, Y Zhang, Z Huang, K Fragkiadaki, Y Li, C Gan, D Held 6th Annual Conference on Robot Learning (CoRL), 2022 | 24 | 2022 |
| Roboninja: Learning an adaptive cutting policy for multi-material objects Z Xu, Z Xian, X Lin, C Chi, Z Huang, C Gan, S Song arXiv preprint arXiv:2302.11553, 2023 | 13 | 2023 |
| Self-supervised transparent liquid segmentation for robotic pouring G Narasimhan, K Zhang, B Eisner, X Lin, D Held 2022 International Conference on Robotics and Automation (ICRA), 4555-4561, 2022 | 13 | 2022 |
| ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Y Wang, GN Narasimhan, X Lin, B Okorn, D Held Conference on Robot Learning (CoRL), 2020 | 13 | 2020 |
| Learning closed-loop dough manipulation using a differentiable reset module C Qi, X Lin, D Held IEEE Robotics and Automation Letters 7 (4), 9857-9864, 2022 | 11 | 2022 |
| Transfer of view-manifold learning to similarity perception of novel objects X Lin, H Wang, Z Li, Y Zhang, A Yuille, TS Lee International Conference on Learning Representation (ICLR), 2017 | 10 | 2017 |
| Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking Z Huang, X Lin, D Held 2023 International Conference on Robotics and Automation (ICRA), 2023 | 9 | 2023 |
| Gello: A general, low-cost, and intuitive teleoperation framework for robot manipulators P Wu, Y Shentu, Z Yi, X Lin, P Abbeel arXiv preprint arXiv:2309.13037, 2023 | 8 | 2023 |
| Learning robust object recognition using composed scenes from generative models H Wang, X Lin, Y Zhang, TS Lee 2017 14th Conference on Computer and Robot Vision (CRV), 232-239, 2017 | 7 | 2017 |
| Adaptive variance for changing sparse-reward environments X Lin, P Guo, C Florensa, D Held 2019 International Conference on Robotics and Automation (ICRA), 3210-3216, 2019 | 5 | 2019 |
| Any-point Trajectory Modeling for Policy Learning C Wen*, X Lin*, J So*, K Chen, Q Dou, Y Gao, P Abbeel arXiv preprint arXiv:2401.00025, 2023 | 4 | 2023 |
| SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks X Lin, J So, S Mahalingam, F Liu, P Abbeel arXiv preprint arXiv:2307.03567, 2023 | 4 | 2023 |
| Learning Generalizable Tool-use Skills through Trajectory Generation C Qi, S Shetty, X Lin*, D Held* arXiv preprint arXiv:2310.00156, 2023 | 2 | 2023 |
| HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation C Sferrazza, DM Huang, X Lin, Y Lee, P Abbeel arXiv preprint arXiv:2403.10506, 2024 | 1 | 2024 |
David HeldAssistant Professor in the Robotics Institute, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
