Pavlo Denysyuk
Papers
4
Total Citations
46
H-Index
3
About
Pavlo Denysyuk is a robotics researcher whose work centers on autonomous mobile robot navigation, SLAM (Simultaneous Localization and Mapping), and embedded control systems. His most influential contribution is the development of a mobile robot system that integrates LIDAR technology with an Arduino microcontroller, implementing graph-based SLAM for real-time autonomous control—a paper that has garnered 32 citations and serves as a foundational reference in low-cost robotics. Denysyuk has also advanced path planning with an A* modification tailored for mobile robotic systems, using polar coordinate data to build efficient navigation graphs. His earlier work on the main algorithms for Arduino-based mobile robots and the technical support system for the RoboCAD platform, though less cited, established a versatile framework that has enabled subsequent projects. Collectively, his research demonstrates a practical, accessible approach to robotics, making sophisticated navigation and control techniques viable on affordable hardware. Denysyuk’s contributions are particularly valuable for students and engineers seeking to implement autonomous systems without expensive proprietary equipment, bridging the gap between theoretical SLAM algorithms and real-world, low-cost robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A* Modification for Mobile Robotic Systems5 citations · 2019
- 4Technical support for mobile robot system RoboCAD2 citations · 2013