Dynamic Region Filling for Robotic Artistic Painting using Visual Feedback
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Date
2026
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present an iterative region-based stroke-filling framework for robotic painting that combines vectorized image abstraction with closed-loop physical feedback. Rather than executing a fixed stroke plan, the system incrementally generates adaptive 3D brush trajectories guided by geometric structure, coverage estimation, and physical canvas feedback. Each region is progressively filled using dynamically grown strokes whose direction, curvature, and width are optimized using distance transforms, structure tensor analysis, and local coverage maps. After each execution cycle, camera feedback is used to estimate real paint deposition and refine subsequent stroke generation. This closed-loop process continues until region-level coverage convergence is reached, enabling robust handling of physical uncertainties in paint transfer and brush dynamics. The approach produces a dynamic region-based robotic painting approach while maintaining high physical reliability.
Description
CCS Concepts: Computing methodologies → Non-photorealistic rendering; Applied computing → Fine arts
@inproceedings{10.2312:egp.20261004,
booktitle = {Eurographics 2026 - Posters},
editor = {Gerrits, Tim and Teschner, Matthias},
title = {{Dynamic Region Filling for Robotic Artistic Painting using Visual Feedback}},
author = {Stroh, Michael and Berio, Daniel and Fol Leymarie, Frederic and Deussen, Oliver },
year = {2026},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-300-1},
DOI = {10.2312/egp.20261004}
}