Self-Improving Robotic Brushstroke Replication
AbstractPainting 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. View Full-Text
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Gülzow, J.M.; Grayver, L.; Deussen, O. Self-Improving Robotic Brushstroke Replication. Arts 2018, 7, 84.
Gülzow JM, Grayver L, Deussen O. Self-Improving Robotic Brushstroke Replication. Arts. 2018; 7(4):84.Chicago/Turabian Style
Gülzow, Jörg M.; Grayver, Liat; Deussen, Oliver. 2018. "Self-Improving Robotic Brushstroke Replication." Arts 7, no. 4: 84.
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