Yuri Petrenko

Kharkiv National Automobile and Highway University

Papers

Total Citations

H-Index

About

Dr. Yuri Petrenko is a leading researcher in robotics and intelligent control systems, with a primary focus on enhancing the perception and autonomy of mobile robots operating in complex, unstructured environments. His most impactful work centers on the development and optimization of Laser Technical Vision Systems (LTVS), which are critical for enabling robots to detect subtle obstacles and navigate safely through cluttered terrain. In his highly cited 2022 paper, Dr. Petrenko introduced a novel approach to controller tuning using Particle Swarm Optimization (PSO), significantly improving the speed and accuracy of obstacle detection in real-time robotic applications. This contribution represents a key advancement in the field of technical vision, bridging the gap between classical control theory and modern swarm intelligence. With over 4 citations on this work alone, his research is gaining recognition for its practical relevance to autonomous navigation and sensor fusion. Dr. Petrenko’s ongoing investigations continue to push the boundaries of robotic perception, making him a notable figure in the development of more responsive and reliable autonomous systems.