Oleksandr Susak
Papers
1
Total Citations
2
H-Index
1
About
Oleksandr Susak is a researcher specializing in robotics, autonomous navigation, and intelligent information systems. His work focuses on developing computational methods for mobile robot path planning in complex, multilevel environments. His most-cited paper, "Information System for Calculating the Shortest Route for a Mobile Robot in a Multilevel Environment Based on Unity" (2023), introduces a novel simulation framework that leverages the Unity engine to compute optimal routes across varying elevations and obstacles. This contribution addresses a critical gap in real-world robotic navigation, where traditional 2D pathfinding algorithms fail to account for vertical structures like ramps, stairs, or multi-story layouts. By integrating real-time 3D visualization with algorithmic efficiency, Susak’s system enables more accurate and adaptable route calculations for autonomous robots in warehouses, hospitals, or disaster zones. Though his citation count is early-stage, his work demonstrates strong potential for impact in robotics and simulation research. Susak’s approach bridges software engineering and applied robotics, offering a practical tool for both academic study and industrial deployment. His ongoing efforts continue to refine the intersection of virtual environment modeling and autonomous decision-making.
Research Focus
Key Achievements
Top Papers
- 1