Syma Afsha
Papers
2
Total Citations
4
H-Index
2
About
Syma Afsha is an emerging researcher in autonomous robotics, with a primary focus on exploration, localization, and mapping for mobile robots. Her work addresses critical challenges in environments where GPS is unavailable, such as indoor spaces, disaster zones, and extraterrestrial terrains. In her 2024 paper "DiscoverBot," she introduces a novel frontier-based exploration method that fuses DBSCAN clustering with Informed-RRT* path planning, enabling efficient autonomous navigation in complex, unknown environments. Her second key contribution, "AR-TurtleSLAM," presents an EKF-based SLAM system that leverages ArUco markers for robust localization and mapping, offering a practical solution for indoor robotic navigation. Though early in her career, both papers have already garnered 2 citations each, signaling growing interest from the robotics community. Afsha’s work stands out for its integration of classical estimation techniques with modern perception tools, making her contributions both accessible and impactful for students and researchers working on real-world autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2