Topology Prediction of Branched Deformable Linear Objects Using Deep Learning

Topology Prediction of Branched Deformable Linear Objects Using Deep Learning

Automated wire harness handling can improve production efficiency, increase quality, and reduce assembly costs. However, due to deformation, there are an infinite number of possible wire harness configurations, making wire harness perception a challenge. Deep learning is a popular method for compute...

Full description

Saved in:
Bibliographic Details
Main Authors: Shengzhe Ouyang, Manuel Zurn, Lukas Zeh, Armin Lechler, Alexander Verl
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Machine vision
artificial intelligence
deep learning
synthetic dataset
transfer learning
branched deformable linear objects
Online Access:https://ieeexplore.ieee.org/document/10804119/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10804119/

Similar Items