Recent Developments Regarding Painting Robots for Research in Automatic Painting, Artificial Creativity, and Machine Learning

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Applied Sciences. MDPI. 2020, 10(10), 3396. eISSN 2076-3417. Available under: doi: 10.3390/app10103396
Zusammenfassung

E-David (Electronic Drawing Apparatus for Vivid Image Display) is a system for controlling a variety of painting machines in order to create robotic paintings. This article summarizes the hardware set-up used for painting, along with recent developments, lessons learned from past painting machines, as well as plans for new approaches. We want to apply e-David as a platform for research towards improving automatic painting and to explore machine creativity. We present different painting machines, from small low-cost plotters to large industrial robots, and discuss the benefits and limitations of each type of platform and present their applicability to different tasks within the domain of robotic painting and artificial creativity research. A unified control interface with a scripting language allows users a simplified usage of different e-David-like machines. Furthermore, we present our system for automated stroke experimentation and recording, which is an advance towards allowing the machine to autonomously learn about brush dynamics. Finally, we also show how e-David can be used by artists “in the field” for different exhibitions.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
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robotics; painting; art; generative method; brush; brushstroke; data collection
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ISO 690GÜLZOW, Jörg Marvin, Patrick PAETZOLD, Oliver DEUSSEN, 2020. Recent Developments Regarding Painting Robots for Research in Automatic Painting, Artificial Creativity, and Machine Learning. In: Applied Sciences. MDPI. 2020, 10(10), 3396. eISSN 2076-3417. Available under: doi: 10.3390/app10103396
BibTex
@article{Gulzow2020-05-14Recen-50170,
  year={2020},
  doi={10.3390/app10103396},
  title={Recent Developments Regarding Painting Robots for Research in Automatic Painting, Artificial Creativity, and Machine Learning},
  number={10},
  volume={10},
  journal={Applied Sciences},
  author={Gülzow, Jörg Marvin and Paetzold, Patrick and Deussen, Oliver},
  note={Article Number: 3396}
}
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