93 citations · 130 across the 5 of their papers we have counts for
5 papers
Positive-Unlabeled Reward Learning
Danfei Xu, Misha Denil
Learning reward functions from data is a promising path towards achieving scalable Reinforcement Learning (RL) for robotics. However, a major challenge in training agents from lear…
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
Chen Wang, Roberto Martín-Martín, Danfei Xu +5
We present 6-PACK, a deep learning approach to category-level 6D object pose tracking on RGB-D data. Our method tracks in real-time novel object instances of known object categorie…
Regression Planning Networks
Danfei Xu, Roberto Martín-Martín, De-An Huang +3
Recent learning-to-plan methods have shown promising results on planning directly from observation space. Yet, their ability to plan for long-horizon tasks is limited by the accura…
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu +4
A key technical challenge in performing 6D object pose estimation from RGB-D image is to fully leverage the two complementary data sources. Prior works either extract information f…
Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects
Yinxiao Li, Yan Wang, Yonghao Yue +5
Robotic manipulation of deformable objects is a difficult problem especially because of the complexity of the many different ways an object can deform. Searching such a high dimens…