Andriy Kernytskyy
Papers
1
Total Citations
5
H-Index
1
About
Andriy Kernytskyy is a researcher specializing in mobile robotics, autonomous navigation, and real-time control systems. His most cited work, "A* Modification for Mobile Robotic Systems" (2019, 5 citations), introduces a novel software architecture built on the MVC methodology that integrates LIDAR and SLAM technologies for automatic mobile robot control. A key contribution is the development of an algorithm that constructs navigation graphs from polar coordinate data obtained from the robot’s sensors, enhancing path planning efficiency in dynamic environments. This work demonstrates Kernytskyy’s focus on bridging theoretical pathfinding algorithms with practical, real-time robotic applications. While his citation count is modest, his research addresses critical challenges in autonomous systems, particularly in sensor data processing and adaptive navigation. His contributions are valuable for students and engineers exploring SLAM-based robotics, offering a concrete example of how classic algorithms like A* can be modified for real-world mobile platforms.
Research Focus
Key Achievements
Top Papers
- 1A* Modification for Mobile Robotic Systems5 citations · 2019