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DeformerNet: A Deep Learning Approach to 3D Deformable Object
  Manipulation

DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation

16 July 2021
Bao Thach
Alan Kuntz
Tucker Hermans
    3DPC
ArXiv (abs)PDFHTML

Papers citing "DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation"

5 / 5 papers shown
DefGoalNet: Contextual Goal Learning from Demonstrations For Deformable
  Object Manipulation
DefGoalNet: Contextual Goal Learning from Demonstrations For Deformable Object ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2023
Bao Thach
Tanner Watts
S. Ho
Tucker Hermans
Alan Kuntz
210
4
0
25 Sep 2023
DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects
DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects
Bao Thach
Brian Y. Cho
Shing-Hei Ho
Tucker Hermans
Alan Kuntz
363
9
0
08 May 2023
Modal-graph 3D shape servoing of deformable objects with raw point
  clouds
Modal-graph 3D shape servoing of deformable objects with raw point clouds
Bohan Yang
Congying Sui
Fangxun Zhong
Yunhui Liu
3DPC
260
6
0
18 Apr 2023
VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable
  Objects
VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable ObjectsConference on Robot Learning (CoRL), 2022
Youngsun Wi
Andy Zeng
Peter R. Florence
Nima Fazeli
199
26
0
07 Oct 2022
Learning Visual Shape Control of Novel 3D Deformable Objects from
  Partial-View Point Clouds
Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point CloudsIEEE International Conference on Robotics and Automation (ICRA), 2021
Bao Thach
Brian Y. Cho
Alan Kuntz
Tucker Hermans
3DPC
293
41
0
10 Oct 2021
1
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