Grigoriy Dubrovskiy

Saint Petersburg State Electrotechnical University

Papers

Total Citations

H-Index

About

Grigoriy Dubrovskiy is a robotics researcher specializing in autonomous navigation, collision avoidance, and intelligent control systems for mobile robots. His work addresses the critical challenge of ensuring safety in unknown and dynamic environments, particularly when robots must navigate among moving obstacles. His most cited paper, "SafeGuardPF: Safety Guaranteed Reactive Potential Fields for Mobile Robots in Unknown and Dynamic Environments" (2016, 4 citations), introduces a novel approach that provides proven collision avoidance guarantees—a significant improvement over traditional model predictive algorithms that may fail in unpredictable settings. Dubrovskiy also explores the integration of machine learning into robotics, as demonstrated in his work "Neural network control system for a tracked robot" (2015, 2 citations), where he designed a neural network regulator for black line following using infrared sensors. These contributions highlight his focus on merging theoretical safety guarantees with practical, real-time control systems. While his citation counts reflect an emerging career, his research lays important groundwork for safer, more adaptive autonomous systems in complex environments.