Publikation:

Self-Improving Robotic Brushstroke Replication

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Guelzow_2-w4pun4ojvh302.pdf
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Datum

2018

Autor:innen

Grayver, Liat

Herausgeber:innen

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ISBN

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URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-2-w4pun4ojvh302
DOI (zitierfähiger Link)
https://doi.org/10.3390/arts7040084
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz

CC BY 4.0

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Gold

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Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

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Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Arts. 2018, 7(4), 84. eISSN 2076-0752. Available under: doi: 10.3390/arts7040084

Zusammenfassung

Painting robots, like e-David, are currently unable to create precise strokes in their paintings. We present a method to analyse given brushstrokes and extract their trajectory and width using a brush behaviour model and photographs of strokes painted by humans. Within the process, the robot experiments autonomously with different brush trajectories to improve the reproduction results, which are precise within a few millimetres for strokes up to 100 millimetres length. The method can be generalised to other robotic tasks with imprecise tools and visible results, like polishing or milling.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

robotics; painting; art; generative method; brush

Konferenz

Rezension
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ISO 690GÜLZOW, Jörg Marvin, Liat GRAYVER, Oliver DEUSSEN, 2018. Self-Improving Robotic Brushstroke Replication. In: Arts. 2018, 7(4), 84. eISSN 2076-0752. Available under: doi: 10.3390/arts7040084
BibTex
@article{Gulzow2018-12SelfI-44390,
  year={2018},
  doi={10.3390/arts7040084},
  title={Self-Improving Robotic Brushstroke Replication},
  number={4},
  volume={7},
  journal={Arts},
  author={Gülzow, Jörg Marvin and Grayver, Liat and Deussen, Oliver},
  note={Article Number: 84}
}
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