Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Computer Vision and Pattern Recognition

arXiv:2309.13744 (cs)
[Submitted on 24 Sep 2023 (v1), last revised 21 May 2024 (this version, v3)]

Title:A Systematic Literature Review of Computer Vision Applications in Robotized Wire Harness Assembly

Authors:Hao Wang, Omkar Salunkhe, Walter Quadrini, Dan Lämkull, Fredrik Ore, Mélanie Despeisse, Luca Fumagalli, Johan Stahre, Björn Johansson
View PDF HTML (experimental)
Abstract:This article provides a systematic literature review of computer vision applications in robotized wire harness assembly.
Comments: This paper has been published in Advanced Engineering Informatics. Please refer to the published version
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Robotics (cs.RO)
Cite as: arXiv:2309.13744 [cs.CV]
  (or arXiv:2309.13744v3 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2309.13744
Related DOI: https://doi.org/10.1016/j.aei.2024.102596

Submission history

From: Hao Wang [view email]
[v1] Sun, 24 Sep 2023 20:28:01 UTC (3,507 KB)
[v2] Wed, 1 Nov 2023 20:10:24 UTC (1 KB) (withdrawn)
[v3] Tue, 21 May 2024 18:19:00 UTC (5,381 KB)
Full-text links:

Access Paper:

license icon view license
Current browse context:
cs.CV
< prev   |   next >
new | recent | 2023-09
Change to browse by:
cs
cs.AI
cs.RO

References & Citations

export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)