40 citations · 67 across the 7 of their papers we have counts for
7 papers
RFTrans: Leveraging Refractive Flow of Transparent Objects for Surface Normal Estimation and Manipulation
Tutian Tang, Jiyu Liu, Jieyi Zhang +3
Transparent objects are widely used in our daily lives, making it important to teach robots to interact with them. However, it's not easy because the reflective and refractive effe…
RCareWorld: A Human-centric Simulation World for Caregiving Robots
Ruolin Ye, Wenqiang Xu, Haoyuan Fu +5
We present RCareWorld, a human-centric simulation world for physical and social robotic caregiving designed with inputs from stakeholders, including care recipients, caregivers, oc…
AKB-48: A Real-World Articulated Object Knowledge Base
Liu Liu, Wenqiang Xu, Haoyuan Fu +3
Human life is populated with articulated objects. A comprehensive understanding of articulated objects, namely appearance, structure, physics property, and semantics, will benefit…
RFUniverse: A Multiphysics Simulation Platform for Embodied AI
Haoyuan Fu, Wenqiang Xu, Ruolin Ye +7
Multiphysics phenomena, the coupling effects involving different aspects of physics laws, are pervasive in the real world and can often be encountered when performing everyday hous…
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval
Han Xue, Liu Liu, Wenqiang Xu +2
Articulated objects are pervasive in daily life. However, due to the intrinsic high-DoF structure, the joint states of the articulated objects are hard to be estimated. To model ar…
Towards Real-World Category-level Articulation Pose Estimation
Liu Liu, Han Xue, Wenqiang Xu +2
Human life is populated with articulated objects. Current Category-level Articulation Pose Estimation (CAPE) methods are studied under the single-instance setting with a fixed kine…
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
Wenhui Lei, Wei Xu, Ran Gu +3
Deep learning networks have shown promising performance for accurate object localization in medial images, but require large amount of annotated data for supervised training, which…