Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang.
Dynamic Handover: Throw and Catch with Bimanual Hands .
Conference on Robot Learning (CoRL), 2023.
Yanjie Ze*, Ge Yan*, Yueh-Hua Wu*, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang.
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields.
Conference on Robot Learning (CoRL), 2023.
Oral Presentation
Yunhai Feng*, Nicklas Hansen*, Ziyan Xiong*, Chandramouli Rajagopalan, Xiaolong Wang.
Finetuning Offline World Models in the Real World.
Conference on Robot Learning (CoRL), 2023.
Oral Presentation
Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya.
Elastic Decision Transformer.
arXiv, 2023.
Nicklas Hansen*, Zhecheng Yuan*, Yanjie Ze*, Tongzhou Mu*, Aravind Rajeswaran+, Hao Su+, Huazhe Xu+, Xiaolong Wang+.
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline.
International Conference on Machine Learning (ICML), 2023.
Zhao-Heng Yin*, Binghao Huang*, Yuzhe Qin, Qifeng Chen, Xiaolong Wang.
Rotating without Seeing: Towards In-hand Dexterity through Touch.
Robotics: Science and Systems (RSS), 2023.
Ruihan Yang, Ge Yang, Xiaolong Wang.
Neural Volumetric Memory for Visual Locomotion Control.
Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Highlight
Yuying Ge, Annabella Macaluso, Li Erran Li, Ping Luo, Xiaolong Wang.
Policy Adaptation from Foundation Model Feedback.
Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Jianglong Ye*, Jiashun Wang*, Binghao Huang, Yuzhe Qin, Xiaolong Wang.
Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations.
Robotics and Automation Letters (RA-L), 2023.
International Conference on Intelligent Robots and Systems (IROS), 2023.
Yanjie Ze*, Nicklas Hansen*, Yinbo Chen, Mohit Jain, Xiaolong Wang.
Visual Reinforcement Learning with Self-Supervised 3D Representations.
Robotics and Automation Letters (RA-L), 2023.
International Conference on Intelligent Robots and Systems (IROS), 2023.
Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran.
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations.
International Conference on Learning Representations (ICLR), 2023.
Yuzhe Qin*, Binghao Huang*, Zhao-Heng Yin, Hao Su, Xiaolong Wang.
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation.
Conference on Robot Learning (CoRL), 2022.
Sateesh Kumar, Jonathan Zamora*, Nicklas Hansen*, Rishabh Jangir, Xiaolong Wang.
Graph Inverse Reinforcement Learning from Diverse Videos.
Conference on Robot Learning (CoRL), 2022 (Oral Presentation).
Yueh-Hua Wu*, Jiashun Wang*, Xiaolong Wang.
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance.
Conference on Robot Learning (CoRL), 2022.
Yuzhe Qin*, Yueh-Hua Wu*, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang.
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos.
European Conference on Computer Vision (ECCV), 2022.
Yuzhe Qin, Hao Su*, Xiaolong Wang*.
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation.
Robotics and Automation Letters (RA-L), 2022.
International Conference on Intelligent Robots and Systems (IROS), 2022.
Chieko Sarah Imai*, Minghao Zhang*, Yuchen Zhang*, Marcin Kierebiński, Ruihan Yang, Yuzhe Qin, Xiaolong Wang.
Vision-Guided Quadrupedal Locomotion in the Wild with Multi-Modal Delay Randomization.
International Conference on Intelligent Robots and Systems (IROS), 2022.
Nicklas Hansen, Xiaolong Wang*, Hao Su*.
Temporal Difference Learning for Model Predictive Control.
International Conference on Machine Learning (ICML), 2022.
Rishabh Jangir*, Nicklas Hansen*, Sambaran Ghosal, Mohit Jain, Xiaolong Wang.
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation.
Robotics and Automation Letters (RA-L), 2022.
International Conference on Robotics and Automation (ICRA), 2022.
Ruihan Yang*, Minghao Zhang*, Nicklas Hansen, Huazhe Xu, Xiaolong Wang.
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers.
International Conference on Learning Representations (ICLR), 2022 (Spotlight Presentation).
Nicklas Hansen, Hao Su, Xiaolong Wang.
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation.
Conference on Neural Information Processing Systems (NeurIPS), 2021.
Minghao Zhang*, Pingcheng Jian*, Yi Wu, Huazhe Xu, Xiaolong Wang.
DAIR: Disentangled Attention Intrinsic Regularization for Safe and Efficient Bimanual Manipulation.
arXiv, 2021.
Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, Jitendra Malik.
State-Only Imitation Learning for Dexterous Manipulation.
International Conference on Intelligent Robots and Systems (IROS), 2021.
Nicklas Hansen, Xiaolong Wang.
Generalization in Reinforcement Learning by Soft Data Augmentation.
International Conference on Robotics and Automation (ICRA), 2021.
Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang.
Learning Cross-domain Correspondence for Control with Dynamics Cycle-consistency.
International Conference on Learning Representations (ICLR), 2021 (Oral Presentation).
Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang.
Self-Supervised Policy Adaptation during Deployment.
International Conference on Learning Representations (ICLR), 2021 (Spotlight Presentation).
Yunfei Li, Huazhe Xu, Yilin Wu, Xiaolong Wang, Yi Wu.
Solving Compositional Reinforcement Learning Problems via Task Reduction.
International Conference on Learning Representations (ICLR), 2021.
Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu.
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization.
International Conference on Learning Representations (ICLR), 2021.
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian.
Multi-Agent Collaboration via Reward Attribution Decomposition.
arXiv, 2020.
Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang.
Multi-Task Reinforcement Learning with Soft Modularization.
Conference on Neural Information Processing Systems (NeurIPS), 2020.
Qian Long*, Zihan Zhou*, Abhinav Gupta, Fei Fang, Yi Wu†, Xiaolong Wang†.
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning.
International Conference on Learning Representations (ICLR), 2020.
