Ekaterina Dorzhieva
Papers
3
Total Citations
21
H-Index
3
About
Ekaterina Dorzhieva is pioneering the frontier of autonomous multi-agent systems, with a sharp focus on heterogeneous swarms of drones and mobile robots. Her research addresses the critical challenge of enabling robust, adaptive collaboration between aerial and ground agents in dynamic, unstructured environments. Dorzhieva’s major contributions center on developing novel architectures for self-sustaining swarms that can perform complex maneuvers, such as the autonomous landing of drone formations on moving platforms—a feat previously unachieved. In her seminal work, "SwarmHawk," she introduced an agent supervision paradigm that significantly enhances swarm adaptability without overburdening individual drones with heavy computer vision. Her "SwarMan" project further extends this expertise into human-robot interaction, creating an anthropomorphic drone avatar capable of body tracking and deep learning-based gesture recognition for remote affective communication. With her most-cited papers accumulating over 20 citations since 2022, Dorzhieva’s work is rapidly gaining recognition for its practical implications in exploration, telepresence, and cooperative robotics. Her achievements demonstrate a rare ability to bridge theoretical swarm intelligence with deployable, real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3