Learning Keypoints for Robotic Cloth Manipulation Using Synthetic Data-Reference-Cited by-同舟云学术

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Learning Keypoints for Robotic Cloth Manipulation Using Synthetic Data

Published:2024-07 Issue:7 Volume:9 Page:6528-6535
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Lips Thomas¹^ORCID,De Gusseme Victor-Louis¹^ORCID,Wyffels Francis¹^ORCID

Affiliation:

1. AI and Robotics Lab (IDLab-AIRO), Ghent University - Imec, Zwijnaarde, Belgium

Funder

Fonds Wetenschappelijk Onderzoek

euROBIn

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10534628/10538385.pdf?arnumber=10538385

Reference42 articles.

1. Visual grasp point localization, classification and state recognition in robotic manipulation of cloth: An overview

2. Modeling, learning, perception, and control methods for deformable object manipulation

3. FlingBot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding;Ha,2022

4. SpeedFolding: Learning Efficient Bimanual Folding of Garments

5. Cloth Funnels: Canonicalized-Alignment for Multi-Purpose Garment Manipulation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Center Direction Network for Grasping Point Localization on Cloths;IEEE Robotics and Automation Letters;2024-10

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