Zhanna Gabbassova
Papers
1
Total Citations
3
H-Index
1
About
Dr. Zhanna Gabbassova is a robotics researcher whose work focuses on the critical challenge of multi-robot motion planning, particularly in unknown or hazardous environments. Her key research areas include autonomous navigation, trajectory optimization, and sensor-based coordination for robotic teams. Her most cited paper, "Multiple Robot Motion Planning Considering Shortest and Safest Trajectory" (2019), introduces a novel approach that balances efficiency with safety by integrating radiation sensors into robot teams. This allows each robot to simultaneously detect its surroundings and the positions of other agents, enabling real-time path adjustments that avoid collisions while minimizing travel distance. Although her citation count is currently modest, this work represents an important step toward deploying multi-robot systems in dangerous settings like nuclear disaster zones or industrial inspection sites. By prioritizing both shortest and safest paths, Gabbassova’s research addresses a fundamental trade-off in autonomous navigation, laying groundwork for more resilient and practical robotic swarms. Her contributions are particularly relevant for students and researchers interested in the intersection of motion planning, sensor fusion, and cooperative robotics.
Research Focus
Key Achievements
Top Papers
- 1