Alexey Podoprosvetov

Keldysh Institute of Applied Mathematics

Papers

Total Citations

H-Index

About

Alexey Podoprosvetov is a robotics researcher whose work centers on autonomous vehicle control systems and innovative wheeled robot locomotion. His primary contributions lie in developing multi-level control architectures for self-driving vehicles, as demonstrated in his most-cited paper, "Development of Complex Control System for the Autonomous Vehicle Niva" (2019, 4 citations). This research integrates computer vision for road lane detection with real-time low-level vehicle control algorithms, enabling precise lane-keeping in a modified Niva platform—a notable achievement in applying autonomous systems to rugged, off-road capable vehicles. Podoprosvetov also explores alternative robotic mobility through his work on omni-wheeled robots, as seen in "Mathematical Model of a Robot with Omni-Wheels Located at the Vertices of the Right Triangle" (2018, 2 citations), where he models unique wheel configurations for enhanced maneuverability. While his citation counts are modest, his practical, systems-level approach to autonomous driving and novel locomotion designs offers valuable insights for students and researchers interested in field robotics, computer vision integration, and non-holonomic vehicle control. His work bridges theoretical modeling with real-world implementation, making it a solid foundation for those entering autonomous systems research.