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- Title
Self-Improving Robotic Brushstroke Replication.
- Authors
Gülzow, Jörg Marvin; Grayver, Liat; Deussen, Oliver
- Abstract
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.
- Subjects
AUTODIDACTICISM; ROBOTICS; BRUSHWORK; PAINTING; HUMAN-robot interaction
- Publication
Arts (2076-0752), 2018, Vol 7, Issue 4, p84
- ISSN
2076-0752
- Publication type
Article
- DOI
10.3390/arts7040084