3 citations · 6 across the 7 of their papers we have counts for
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cs.RO2023
Category-level Shape Estimation for Densely Cluttered Objects
Zhenyu Wu, Ziwei Wang, Jiwen Lu +1
Accurately estimating the shape of objects in dense clutters makes important contribution to robotic packing, because the optimal object arrangement requires the robot planner to a…
cs.RO2022★ 1 cited
Smart Explorer: Recognizing Objects in Dense Clutter via Interactive Exploration
Zhenyu Wu, Ziwei Wang, Zibu Wei +2
Recognizing objects in dense clutter accurately plays an important role to a wide variety of robotic manipulation tasks including grasping, packing, rearranging and many others. Ho…
cs.RO2022
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Zhan Liu, Ziwei Wang, Sichao Huang +2
Grasping in dense clutter is a fundamental skill for autonomous robots. However, the crowdedness and occlusions in the cluttered scenario cause significant difficulties to generate…