Xingyu Lin
Xingyu Lin
Postdoc at UC Berkeley
Verified email at - Homepage
Cited by
Cited by
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
X Lin, Y Wang, J Olkin, D Held
Conference on Robot Learning (CoRL), 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
Learning Visible Connectivity Dynamics for Cloth Smoothing
X Lin, Y Wang, D Held
Conference on Robot Learning (CoRL), 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
Mesh-based dynamics with occlusion reasoning for cloth manipulation
Z Huang, X Lin, D Held
Robotics Science and System (RSS), 2022
Reinforcement Learning without Ground-Truth State
X Lin, HS Baweja, D Held
Workshop on Multi-Task and Lifelong Reinforcement Learning (ICML), 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
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
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
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
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
Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking
Z Huang, X Lin, D Held
2023 International Conference on Robotics and Automation (ICRA), 2023
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
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
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
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
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
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
Learning Generalizable Tool-use Skills through Trajectory Generation
C Qi, S Shetty, X Lin*, D Held*
arXiv preprint arXiv:2310.00156, 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
The system can't perform the operation now. Try again later.
Articles 1–20