Artem Ryabinov
Papers
1
Total Citations
10
H-Index
1
About
Artem Ryabinov is a leading researcher in autonomous robotics and unmanned aerial vehicle (UAV) systems, with a focused expertise in precision landing algorithms and visual navigation. His most-cited work, the 2023 paper "Autonomous Landing Algorithm for UAV on a Mobile Robotic Platform with a Fractal Marker," has already garnered 10 citations, reflecting its immediate impact on the field. Ryabinov’s key contribution lies in developing a robust, marker-based landing system that enables UAVs to autonomously and safely land on moving platforms—a critical challenge for applications in logistics, surveillance, and disaster response. By integrating fractal markers with advanced computer vision, his algorithm enhances reliability under dynamic conditions, offering a scalable solution for real-world deployment. This work not only advances autonomous drone operations but also bridges gaps between aerial and ground robotics. Ryabinov’s research is characterized by its practical orientation, addressing real-world constraints while pushing the boundaries of autonomous systems. His achievements mark him as a rising innovator in robotics, with his citation record signaling growing recognition among peers. For students and researchers, Ryabinov’s work exemplifies how targeted algorithmic design can solve complex, interdisciplinary problems in autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1