Cristin-resultat-ID: 1825490
Sist endret: 19. februar 2021, 10:24
NVI-rapporteringsår: 2020
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2020

Competitive high variance, low volume manufacturing with robot manipulators

Bidragsytere:
  • Aksel Andreas Transeth
  • Alexey Stepanov
  • Ådne Solhaug Linnerud
  • Klaus Ening og
  • Tone Beate Gjerstad

Bok

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2020
Sider: 1 - 7
ISBN:
  • 978-1-7281-6419-9

Klassifisering

Fagfelt (NPI)

Fagfelt: Tverrfaglig teknologi
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

Competitive high variance, low volume manufacturing with robot manipulators

Sammendrag

Competitive robotized manufacturing of high specter variance, low volume product lines represents market opportunities for manufacturing companies, but cost-efficient production is challenging. In this paper, we present two main industry use cases which represent key challenges to be solved for cost-efficient low-volume, high-variance production. The use cases are found in collaboration with three manufacturing companies. We identify and describe these challenges which include perception and manipulation with shiny/high-reflectivity parts, human-machine interfaces for robot reconfiguration and calibration between simulated and real-world environments. In this paper, we present new methods for meeting these challenges: machine vision for handling sensor data with low quality in robot manipulation, automated robot programming based on CAD-models and automated calibration. Moreover, we implement and demonstrate the methods on the two identified industry use cases for robotized assembly.

Bidragsytere

Aksel Andreas Transeth

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Alexey Stepanov

  • Tilknyttet:
    Forfatter
    ved Smart Sensor Systems ved SINTEF AS

Ådne Solhaug Linnerud

  • Tilknyttet:
    Forfatter
    ved SINTEF Manufacturing

Klaus Ening

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Tone Beate Gjerstad

  • Tilknyttet:
    Forfatter
    ved SINTEF Manufacturing
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Resultatet er en del av Resultatet er en del av

Proceeding of 3rd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS2020) .

Korondi, Peter; Husi, Geza; Martinsen, Kristian; Kunii, Yasuharu. 2020, IEEE conference proceedings. DE, CD, BMÉGE, NTNUVitenskapelig antologi/Konferanseserie
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