Viktor Fedorov

Papers

Total Citations

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About

Viktor Fedorov is a researcher specializing in robotics and autonomous navigation, with a particular focus on path planning and optimization for mobile systems. His most cited work, "Path optimization for D-star algorithm modification" (2022, 9 citations), addresses a critical challenge in mobile robotics: enabling robots to follow routes quickly and without damage. Fedorov’s contribution lies in refining the D-star algorithm—a widely used dynamic pathfinding method—to improve navigation efficiency and safety in real-time environments. By optimizing route selection, his work enhances the reliability of autonomous systems operating in unpredictable settings. Though early in his citation impact, Fedorov’s research is foundational for advancing simultaneous localization and mapping (SLAM) and sensor-based navigation, areas that underpin modern robotics. His approach bridges theoretical algorithm design and practical deployment, making his work valuable for engineers developing self-driving vehicles, warehouse robots, and exploration drones. As the demand for robust autonomous navigation grows, Fedorov’s contributions are poised to influence both academic research and industrial applications in mobile robotics.