Danylo Matiuk
Papers
1
Total Citations
16
H-Index
1
About
Danylo Matiuk is a robotics researcher whose work centers on autonomous navigation and real-time obstacle avoidance for small mobile platforms. His most-cited paper, “Obstacle Avoidance Algorithm for Small Autonomous Mobile Robot Equipped with Ultrasonic Sensors” (2020), has garnered 16 citations and introduces a novel algorithm that enhances localization and collision prevention using only four ultrasonic sensors and a microcontroller. This contribution addresses a critical design requirement for low-cost, resource-constrained autonomous systems, making it particularly valuable for educational robotics and compact field robots. Matiuk’s approach emphasizes efficiency and practicality, enabling small robots to navigate dynamic environments without expensive sensors. By focusing on lightweight, real-time solutions, his work bridges the gap between theoretical control algorithms and deployable hardware. His research is especially relevant for students and engineers developing entry-level autonomous platforms, demonstrating how clever algorithmic design can overcome hardware limitations. Matiuk’s contributions continue to influence the development of accessible, robust obstacle avoidance systems in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1