Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms

29 May 2021

Papers citing "Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms"

8 / 8 papers shown

Title
Adapting Skills to Novel Grasps: A Self-Supervised Approach Georgios Papagiannis Kamil Dreczkowski Vitalis Vosylius Arno Solin SSL 31 0 0 31 Jul 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 66 1 0 27 May 2024
Theoretical Analysis for Expectation-Maximization-Based Multi-Model 3D Registration David Jin Harry Zhang Kai Chang 29 0 0 14 May 2024
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation Chuer Pan Brian Okorn Harry Zhang Ben Eisner David Held 22 57 0 17 Nov 2022
Self-supervised Wide Baseline Visual Servoing via 3D Equivariance Jinwook Huh J. Hong Suveer Garg Hyunjong Park Volkan Isler SSL 11 2 0 12 Sep 2022
FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects Ben Eisner Harry Zhang David Held 33 89 0 09 May 2022
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation D. Morrison Peter Corke Jurgen Leitner 110 135 0 03 Mar 2020
Relative Camera Pose Estimation Using Convolutional Neural Networks Iaroslav Melekhov Juha Ylioinas Juho Kannala Esa Rahtu 54 197 0 05 Feb 2017