Papers
1
Total Citations
23
H-Index
1
About
Jozef Goga is a researcher at the intersection of robotics, artificial intelligence, and computational creativity. His primary research areas include robotic artistic expression, evolutionary algorithms, and image processing. Goga’s most notable contribution is the development of a fast robotic pencil drawing system that uses a genetic algorithm to evolve an image toward a target photograph, enabling a robot to produce expressive, human-like sketches. This work, published in 2021, has garnered 23 citations and stands out for addressing the underexplored domain of robotic drawing—as opposed to painting—by optimizing stroke placement and rendering speed. Beyond this, Goga’s research explores how evolutionary computation can bridge the gap between machine precision and artistic nuance. His achievements demonstrate a commitment to advancing creative robotics, making his work highly relevant for students and researchers interested in AI-driven art, human-robot interaction, and generative design.
Research Focus
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Top Papers
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