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Cited by 8Industrial Vision Systems and Defect DetectionRobot Manipulation and LearningManufacturing Process and Optimization

Artificial Intelligence Based Robotic Automation of Manual Assembly Tasks for Intelligent Manufacturing

Simeth, Alexej, Plapper, Peter·2023·Lecture Notes in Production Engineering
DOI 10.1007/978-3-031-15602-1_11
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Crossref · 10.1007/978-3-031-15602-1_11

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  • AI can be used to optimize the workflow of assembly robots, by analyzing data on the production process and identifying areas where efficiency can be improved.

    “Moreover, AI can be used to optimize the workflow of assembly robots, by analyzing data on the production process and identifying areas where efficiency can be improved [70] .”

    From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [70]

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Authors
Simeth, A., & Plapper, P.
Affiliations
University of Luxembourg (LU)
Corresponding author
Simeth, Alexej
ORCID
Venue
Lecture Notes in Production Engineering
Publisher
Springer International Publishing
Published
2023
Pages
137-148
ISSN
  • 2194-0525 (ISSN-L)
  • 2194-0533
DOI
10.1007/978-3-031-15602-1_11
OpenAlex
W4323058376
Cited by
8
References
0
Citations by year
2026: 1 · 2025: 2 · 2024: 4 · 2023: 1
FWCI
4.53
Type
book chapter
Language
en
Open access
closed
Licence
Locations
  • Lecture notes in production engineering (publishedVersion)
  • Open Repository and Bibliography (University of Luxembourg) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
Keywords
manual assembly, product customization, support vector machine, convolutional neural networks, Tamura features, rule-based detection, Industry 4.0, smart manufacturing

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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