Mina Khoshrangbaf
Papers
1
Total Citations
8
H-Index
1
About
Mina Khoshrangbaf is a researcher advancing the field of autonomous robotics, with a primary focus on indoor localization and navigation. Her most-cited work, "An Experimental Evaluation of Indoor Localization in Autonomous Mobile Robots" (2025, 8 citations), tackles the critical challenge of achieving high-precision positioning in environments plagued by signal interference. By systematically evaluating localization techniques, Khoshrangbaf provides empirical insights that directly support safer, more reliable robot task execution—a foundational need for applications in logistics, healthcare, and smart manufacturing. Her contributions are particularly timely as mobile robots become integral to daily operations, yet struggle with accuracy in GPS-denied spaces. Though early in her career, her experimental rigor and focus on real-world performance highlight a promising trajectory. With her work already cited by peers addressing similar challenges, Khoshrangbaf is establishing herself as a key voice in bridging the gap between theoretical localization algorithms and practical deployment. Her research not only advances robotic autonomy but also lays groundwork for future innovations in sensor fusion and adaptive navigation systems.
Research Focus
Key Achievements
Top Papers
- 1