25 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly
Ruihai Wu, Chenrui Tie, Yushi Du +2
Shape assembly aims to reassemble parts (or fragments) into a complete object, which is a common task in our daily life. Different from the semantic part assembly (e.g., assembling…
cs.CV2022★ 2 cited
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation
Yan Zhao, Ruihai Wu, Zhehuan Chen +4
It is essential yet challenging for future home-assistant robots to understand and manipulate diverse 3D objects in daily human environments. Towards building scalable systems that…
cs.CV2021★ 25 cited
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Ruihai Wu, Yan Zhao, Kaichun Mo +7
Perceiving and manipulating 3D articulated objects (e.g., cabinets, doors) in human environments is an important yet challenging task for future home-assistant robots. The space of…