Self-Improving Robotic Brushstroke Replication

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 experim...

Full description

Bibliographic Details
Main Authors: Jörg Marvin Gülzow, Liat Grayver, Oliver Deussen
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Arts
Subjects:
art
Online Access:https://www.mdpi.com/2076-0752/7/4/84
Description
Summary: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.
ISSN:2076-0752