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

16 July 2021

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

6 / 6 papers shown

Title
DefGoalNet: Contextual Goal Learning from Demonstrations For Deformable Object Manipulation Bao Thach Tanner Watts S. Ho Tucker Hermans Alan Kuntz 31 0 0 25 Sep 2023
DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects Bao Thach Brian Y. Cho Shing-Hei Ho Tucker Hermans Alan Kuntz 23 4 0 08 May 2023
Modal-graph 3D shape servoing of deformable objects with raw point clouds Bohan Yang Congying Sui Fangxun Zhong Yunhui Liu 3DPC 32 2 0 18 Apr 2023
VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects Youngsun Wi Andy Zeng Peter R. Florence Nima Fazeli 57 21 0 07 Oct 2022
Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds Bao Thach Brian Y. Cho Alan Kuntz Tucker Hermans 3DPC 10 30 0 10 Oct 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,109 0 02 Dec 2016