Saba Azizabadi Farahani
Papers
1
Total Citations
7
H-Index
1
About
Saba Azizabadi Farahani is a robotics researcher whose work focuses on advancing multi-robot systems and autonomous navigation. Her primary research areas include simultaneous localization and mapping (SLAM), multi-robot coordination, and map-merging algorithms for heterogeneous robotic platforms. In her most-cited work, "Map-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots" (2019, 7 citations), she introduced a fast and reliable algorithm for producing a global two-dimensional map of indoor environments. This contribution addresses a critical challenge in multi-robot SLAM—enabling robots with different configurations to collaboratively build a unified environmental map, which is essential for efficient exploration and navigation in unknown spaces. Her work has practical implications for search-and-rescue missions, warehouse automation, and autonomous exploration. With a growing citation record, Farahani’s research continues to influence the development of scalable, robust multi-robot systems, making her a promising voice in the field of intelligent robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1