Georgii Kolev

Saint Petersburg State Electrotechnical University

Papers

Total Citations

H-Index

About

Georgii Kolev is a robotics researcher whose work spans creative, competitive, and autonomous systems. His primary research areas include artistic robotics, human-robot interaction, unmanned surface vehicles (USVs), and autonomous power systems. Kolev’s most impactful contribution is his work on image preprocessing for artistic robotic painting (2021, 15 citations), where he developed techniques to transform source images into brushstroke maps that mimic human artistic effects—bridging computer vision and creative expression. He also designed the sensor subsystem for a small USV (2019, 8 citations), advancing environmental and military applications of autonomous marine robotics. In human-robot interaction, Kolev created an interactive robot for playing Russian checkers (2020, 4 citations) featuring a novel unsupervised self-learning algorithm inspired by AlphaZero, demonstrating how robots can learn strategic gameplay autonomously. Additionally, his work on a small hybrid power cell for autonomous robots (2021, 2 citations) addresses the critical challenge of energy autonomy by integrating an internal combustion engine-based power supply. Kolev’s diverse contributions—from art to autonomy—showcase his ability to apply robotics across creative, competitive, and practical domains, making him a versatile and innovative figure in modern robotics.