Papers
3
Total Citations
19
H-Index
3
About
Igor Lebedev is a robotics researcher specializing in autonomous navigation and multi-agent systems for unmanned aerial vehicles (UAVs). His work focuses on developing mathematical models and algorithms for local navigation of mobile platforms and UAVs using radio beacons, as well as coordinating group movement of UAVs in dynamic obstacle environments. Lebedev’s most-cited paper, “Mathematical and Algorithmic Model for Local Navigation of Mobile Platform and UAV Using Radio Beacons” (2019, 9 citations), provides foundational methods for precise positioning and path planning. His survey on group movement of UAVs (2022, 7 citations) systematically reviews control strategies for swarm missions, addressing challenges like obstacle avoidance and task allocation. Additionally, his analysis of “Leader–Follower” algorithms (2021, 3 citations) advances trajectory planning for multi-rotor UAV formations. Lebedev’s contributions are critical for real-world applications such as aerial monitoring, search-and-rescue, and logistics, where reliable autonomous coordination is essential. His work bridges theoretical modeling and practical implementation, offering scalable solutions for complex environments. With growing citation impact, Lebedev is establishing himself as a key voice in UAV swarm intelligence and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Group movement of UAVs in environment with dynamic obstacles: a survey7 citations · 2022
- 3