Andrey Efremov
Papers
1
Total Citations
2
H-Index
1
About
Andrey Efremov is a researcher specializing in the motion control and coordination of small unmanned aerial vehicles (UAVs), with a particular focus on flocking algorithms and obstacle avoidance. His work addresses the complex challenge of enabling multiple UAVs to navigate safely and efficiently through obstacle-dense environments toward a target point in quasi-two-dimensional space. Efremov’s key contribution lies in developing a novel approach that imposes a grid of cells over the mission area to interpolate obstacles, allowing for scalable and robust flocking control without requiring global path planning. This method enhances the autonomy and collision-avoidance capabilities of UAV swarms, making it relevant for applications in surveillance, search-and-rescue, and environmental monitoring. While his most-cited paper, "Flocking Control of Small Unmanned Aerial Vehicles in Obstacle Field" (2021), has garnered 2 citations, it represents a foundational step in integrating grid-based spatial reasoning with bio-inspired flocking dynamics. Efremov’s work is notable for its practical orientation, bridging theoretical control systems with real-world UAV deployment challenges, and continues to influence researchers exploring decentralized multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1Flocking Control of Small Unmanned Aerial Vehiclesin Obstacle Field2 citations · 2021