Arts (Nov 2018)

Self-Improving Robotic Brushstroke Replication

  • Jörg Marvin Gülzow,
  • Liat Grayver,
  • Oliver Deussen

DOI
https://doi.org/10.3390/arts7040084
Journal volume & issue
Vol. 7, no. 4
p. 84

Abstract

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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.

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