Papers

3

Total Citations

13

H-Index

2

About

Elizaveta Usina is a robotics researcher whose work focuses on autonomous navigation and path planning for mobile platforms, particularly in agricultural and swarm robotics contexts. Her major contributions include developing novel approaches to robotic path planning that integrate aerial imaging data, enabling robots to navigate complex outdoor environments more effectively. In her 2020 paper "Approach to Robotic Mobile Platform Path Planning Upon Analysis of Aerial Imaging Data" (6 citations), she pioneered methods for using drone-captured imagery to guide ground robots, while her work on "Approach to Obstacle Localization for Robot Navigation in Agricultural Territories" (5 citations) addresses the critical challenge of obstacle detection in farm settings. Usina has also advanced swarm robotics through her A*-based path planning algorithm (2 citations), demonstrating how multiple robots can coordinate their movements efficiently. Her research bridges computer vision, sensor fusion, and optimization algorithms, with direct applications in precision agriculture and autonomous field operations. Though early in her career, Usina's work is already shaping how robots perceive and navigate unstructured environments, making her a promising voice in the field of intelligent robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Approach to Robotic Mobile Platform Path Planning Upon Analysis of Aerial Imaging Data
6 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: St. Petersburg Institute for Informatics and Automation

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago