Ms Samsi
Papers
1
Total Citations
2
H-Index
1
About
Ms Samsi is a researcher in autonomous mobile robotics, with a focus on environmental perception and navigation systems. Her most-cited work, "Environmental map for autonomous navigation system using geographical feature elements information" (2011), introduces a method for generating environmental maps in unknown settings by analyzing camera-captured images in real time. This approach enables robots to recognize geographical features—such as landmarks or obstacles—and use them for self-localization and path planning without prior knowledge of the environment. While her citation count (2) is modest, the work contributes to foundational challenges in autonomous navigation, particularly in unstructured or dynamic spaces. Ms Samsi’s research bridges computer vision and robotics, offering practical insights for developing more adaptive and intelligent mobile systems. Her efforts highlight the importance of leveraging natural feature elements for robust navigation, a key step toward fully autonomous robots capable of operating in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1