Valeriia Lebedeva
Papers
3
Total Citations
11
H-Index
3
About
Valeriia Lebedeva’s research centers on the coordination and autonomy of heterogeneous multi-robot systems, with a particular focus on deploying unmanned aerial vehicles (UAVs) and ground sensors in complex, unstructured environments. Her work addresses critical challenges in distributed mapping, trajectory planning, and sensor deployment for robotic swarms. In her 2023 paper on distributed terrain mapping, she integrated Google Cartographer with a heterogeneous robot group, achieving robust, real-time environmental reconstruction—a contribution that has already garnered 4 citations. Another 2023 study introduced a method for searching optimal deployment zones for ground seismic sensors using a team of UAVs in topographically difficult terrains, also cited 4 times. Her earlier 2021 analysis of “leader–follower” algorithms for multi-rotor UAV trajectory planning (3 citations) laid foundational insights for scalable formation control. Lebedeva’s work is notable for its practical emphasis on field-ready algorithms that balance computational efficiency with adaptability, making her a rising voice in autonomous robotics. Her research directly supports applications in disaster response, environmental monitoring, and infrastructure inspection, where reliable multi-agent coordination is critical.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3