Ekaterina Kopets
Papers
8
Total Citations
94
H-Index
5
About
Ekaterina Kopets is a roboticist whose work bridges the gap between computational creativity and physical automation, with a primary focus on artistic robotic painting. Her research centers on developing systems that enable robots to create authentic, human-like artwork, from image preprocessing and brushstroke rendering to tone rendition. Her most impactful contribution, "Advanced tone rendition technique for a painting robot" (29 citations), demonstrates her ability to refine robotic painting to mimic the nuanced effects of human artists. She has also advanced the field with her work on the ARTCYBE painting robot, detailed in "A Robot for Artistic Painting in Authentic Colors" (25 citations), and has explored algorithmic approaches to non-photorealistic rendering, comparing neural style transfer with gradient-based methods. Beyond art, Kopets has contributed to autonomous systems, designing sensor subsystems for unmanned surface vehicles and developing an interactive robot for playing Russian checkers, which features a novel unsupervised self-learning algorithm. Her diverse portfolio, including work on soft tentacle robots, showcases her versatility in applying robotics to creative, autonomous, and interactive domains, making her a notable figure in the intersection of art and engineering.
Research Focus
Key Achievements
Top Papers
- 1Advanced tone rendition technique for a painting robot29 citations · 2019
- 2A Robot for Artistic Painting in Authentic Colors25 citations · 2023
- 3Image Preprocessing for Artistic Robotic Painting15 citations · 2021
- 4Sensor subsystem design for small unmanned surface vehicle8 citations · 2019
- 5
- 6Brushstroke rendering algorithm for a painting robot5 citations · 2017
- 7Interactive Robot for Playing Russian Checkers4 citations · 2020
- 8Development of a Radio-Controlled Tentacle Robot3 citations · 2021