Alexander Tyukin

Papers

Total Citations

H-Index

About

Alexander Tyukin is a researcher specializing in mobile robotics, computer vision, and indoor navigation systems. His work focuses on developing practical, vision-based solutions for autonomous robot orientation and obstacle detection in confined environments. His most cited paper, "The development and research of the indoor navigation system for a mobile robot with the possibility of obstacle detection" (2014), introduces an innovative approach that uses color beacons placed on environmental objects to determine a robot's position, combined with a computer vision algorithm for real-time obstacle detection—all operating through a single camera system. This streamlined, cost-effective method has garnered 2 citations, reflecting its foundational role in advancing low-cost indoor navigation for mobile robots. Tyukin’s contributions are particularly valuable for applications in warehouses, factories, and other indoor spaces where GPS is unavailable. By integrating beacon-based localization with vision-based obstacle avoidance, he addresses key challenges in autonomous navigation, offering a scalable solution that balances simplicity and functionality. His work continues to inspire further research in sensor fusion and real-time robotic perception.